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樊采虹

Fan, Tsai-Hung

thfanncu@gmail.com

國科會計畫統計

通用趨勢更新過程及其貝氏可靠度分析
1140801~1150731
鋰離子電池衰變試驗之精準設計與深度分析-貝氏隨機效應趨勢更新過程之鋰離子加速衰變資料分析
1130801~1141031
[更新過程,趨勢函數,終止性能,共軛先驗分布,偏差信息準則,後驗預測 p- 值,貝氏預測理 , renewal process,trend function,end of performance,conjugate prior distribution,deviance information criterion,posterior predictive p-value,Bayesian predictive theory]
鋰離子電池衰變試驗之精準設計與深度分析-貝氏隨機效應趨勢更新過程之鋰離子加速衰變資料分析
1120801~1130731
[更新過程,趨勢函數,終止性能,共軛先驗分布,偏差信息準則,後驗預測 p- 值,貝氏預測理 , renewal process,trend function,end of performance,conjugate prior distribution,deviance information criterion,posterior predictive p-value,Bayesian predictive theory]
鋰離子電池衰變數據的可靠度分析-鋰離子電池衰變數據的貝氏可靠度分析(子計畫一)
1110801~1121031
[鋰電池資料,加速衰變試驗,最終使用狀況,貝氏可靠度分析,趨勢更新過程,經驗貝氏方法,貝氏因子,DIC,貝氏最佳試驗,馬可夫練蒙地卡羅方法,EM 演算法 , Lithium-ion battery,accelerated degradation test,end of performance,trend renewal process,Bayes factor,DIC,Bayesian optimal design,Markov chain Monte Carlo method,EM algorithm.]
鋰離子電池衰變數據的可靠度分析-鋰離子電池衰變數據的貝氏可靠度分析(子計畫一)
1100801~1110731
[鋰電池資料,加速衰變試驗,最終使用狀況,貝氏可靠度分析,趨勢更新過程,經驗貝氏方法,貝氏因子,DIC,貝氏最佳試驗,馬可夫練蒙地卡羅方法,EM 演算法 , Lithium-ion battery,accelerated degradation test,end of performance,trend renewal process,Bayes factor,DIC,Bayesian optimal design,Markov chain Monte Carlo method,EM algorithm.]
鋰離子電池衰變數據的可靠度分析-鋰離子電池衰變數據的貝氏可靠度分析(子計畫一)
1090801~1100731
[鋰電池資料,加速衰變試驗,最終使用狀況,貝氏可靠度分析,趨勢更新過程,經驗貝氏方法,貝氏因子,DIC,貝氏最佳試驗,馬可夫練蒙地卡羅方法,EM 演算法 , Lithium-ion battery,accelerated degradation test,end of performance,trend renewal process,Bayes factor,DIC,Bayesian optimal design,Markov chain Monte Carlo method,EM algorithm.]
衰變試驗資料之建模與推論－破壞性衰變試驗資料之建模與貝氏分析
1080801~1100731
[破壞性試驗,衰變資料,加速衰變試驗,失效時間分布,虛擬壽命,適合度檢定,可辨別性,貝氏可靠度 , Destructive Tests,Degradation Data,Accelerated Degradation Test,Failure Time Distribution,Pseudo Failure Time,Goodness of Fit Test,Identifiability,Bayesian Reliability]
衰變試驗資料之建模與推論－破壞性衰變試驗資料之建模與貝氏分析
1070801~1080731
[破壞性試驗,衰變資料,加速衰變試驗,失效時間分布,虛擬壽命,適合度檢定,可辨別性,貝氏可靠度 , Destructive Tests,Degradation Data,Accelerated Degradation Test,Failure Time Distribution,Pseudo Failure Time,Goodness of Fit Test,Identifiability,Bayesian Reliability]
隱馬爾可夫模型中的變化點估計和檢測
1070801~1080731
衰變試驗資料之建模與推論－破壞性衰變試驗資料之建模與貝氏分析
1060801~1070731
[破壞性試驗,衰變資料,加速衰變試驗,失效時間分布,虛擬壽命,適合度檢定,可辨別性,貝氏可靠度 , Destructive Tests,Degradation Data,Accelerated Degradation Test,Failure Time Distribution,Pseudo Failure Time,Goodness of Fit Test,Identifiability,Bayesian Reliability]
具隨機效應及時間尺度之貝氏衰退試驗
1060801~1071031
[衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]
隱馬爾可夫模型中的變化點估計和檢測
1060801~1070731
具隨機效應及時間尺度之貝氏衰退試驗
1050801~1060731
[衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]

期刊著作

Reliability Inference in GLFP Models Based on EM Algorithm With Related Application
Applied Stochastic Models in Business and Industry, 41, 4, 2025-07-01
[ competing risks model,Fisher information matrix,masked data,mixture model ]
Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data
IEEE Transactions on Reliability, 74, 3, 3083-3097, 2025-01-01
[ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process (TRP) ]
Acceleration invariance principle for Hougaard processes in degradation analysis
Naval Research Logistics, 71, 2, 318-330, 2024-03-01
[ acceleration factor,gamma process,inverse Gaussian process,random effects,stochastic ordering ]
A Complete Bayesian Degradation Analysis Based on Inverse Gaussian Processes
IEEE Transactions on Reliability, 73, 1, 536-548, 2024-03-01
[ Deviance information criterion (DIC),highest posterior density (HPD) credible interval,posterior distribution,posterior predictive p-value,predictive inference ]
The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation
Statistics and Computing, 33, 3, 2023-06-01
[ Characteristic function,Contour integration,Exponential dispersion model,Residue,Stirling numbers ]
Bayesian model selection for structural equation models for myopia data
Communications in Statistics Part B: Simulation and Computation, 52, 11, 5680-5694, 2023-01-01
[ Latent variables,Longitudinal data,MCMC,mixture prior,Model selection,Structural equation model ]
Public opinion concerning governments' response to the COVID-19 pandemic
PLoS ONE, 17, 3 March, 2022-03-01
Likelihood-based inference for a frailty-copula model based on competing risks failure time data
Quality and Reliability Engineering International, 36, 5, 1622-1638, 2020-07-01
[ competing risk , copula , frailty , reliability , Weibull distribution ]
Comparison of optimal accelerated life tests with competing risks model under exponential distribution
Quality and Reliability Engineering International, 2020-01-01
[ competing risks,constant-stress ALT,optimal design,step-stress ALT,Type-I censoring ]
A competing risks model with multiply censored reliability data under multivariate weibull distributions
IEEE Transactions on Reliability, 68, 2, 462-475, 2019-06-01
[ Expectation-maximization (EM) algorithm , Marshall-Olkin Weibull distribution , masked data , multiply censored life test , series system ]
A Bayesian Predictive Analysis of Step-Stress Accelerated Tests in Gamma Degradation-Based Processes
Quality and Reliability Engineering International, 33, 7, 1417-1424, 2017-11-01
[ Bayesian reliability inference , gamma process , MCMC , step-stress accelerated degradation test ]
Reliability Inference for a Copula-Based Series System Life Test under Multiple Type-I Censoring
IEEE Transactions on Reliability, 65, 2, 1069-1080, 2016-06-01
[ Clayton copula , EM algorithm , log-location-scale family , masked data , missing information principle , series system , Type-I censoring ]
Statistical inference of a two-component series system with correlated log-normal lifetime distribution under multiple type-I censoring
IEEE Transactions on Reliability, 64, 1, 376-385, 2015-03-01
[ Bivariate log-normal distribution , life test , multiple Type-I censoring , series system ]
Bayesian model averaging in longitudinal regression models with AR(1) errors with application to a myopia data set
Journal of Statistical Computation and Simulation, 85, 8, 1667-1678, 2015-01-01
[ Bayesian model averaging , longitudinal regression model , MCMC , model walking algorithm ]
Constant stress accelerated life test on a multiple-component series system under weibull lifetime distributions
Communications in Statistics - Theory and Methods, 43, 10-12, 2370-2383, 2014-05-15
[ Accelerated life tests,masked data,Series system,Weibull distributions ]
A new algorithm in bayesian model averaging in regression models
Communications in Statistics Part B: Simulation and Computation, 43, 2, 315-328, 2014-01-01
[ Ayesian model averaging , Occams window , Regression models ]
Bayesian model selection in linear mixed effects models with autoregressive(p) errors using mixture priors
Journal of Applied Statistics, 41, 8, 1814-1829, 2014-01-01
[ autoregressive models , highest posterior probability model , linear mixed effects models , median probability model , mixture priors ]
Statistical inference on constant stress accelerated life tests under generalized gamma lifetime distributions
Quality and Reliability Engineering International, 29, 5, 631-638, 2013-07-01
[ accelerated life tests , generalized gamma distributions , likelihood ratio test , maximum likelihood estimate ]
An empirical Bayesian forecast in the threshold stochastic volatility models
Journal of Statistical Computation and Simulation, 83, 3, 486-500, 2013-03-01
[ empirical Bayes , MCMC , stochastic volatility model , threshold , VaR ]
Bayesian inference of a series system on weibull step-stress accelerated life tests with dependent masking
Quality Technology and Quantitative Management, 10, 3, 291-303, 2013-01-01
[ Cumulative exposure model , Masked , Step-stress accelerated lifetime test , Type-I censoring ]
Accelerated life tests of a series system with masked interval data under exponential lifetime distributions
IEEE Transactions on Reliability, 61, 3, 798-808, 2012-08-07
[ Accelerated life tests , expectation-maximization algorithm , interval data , Markov chain Monte Carlo , masked data , parametric bootstrap , series system ]
Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers
Journal of Multivariate Analysis, 105, 1, 300-310, 2012-02-01
[ Conditional conjugate priors , Hierarchical models , Inverse Bayes formulas , MCMC , Multivariate longitudinal data ]
Bayesian analysis of the structural equation models with application to a longitudinal myopia trial
Statistics in Medicine, 31, 2, 188-200, 2012-01-30
[ Latent variables , Longitudinal data , MCMC , Posterior predictive p-values , Structural equation model ]
Estimation in multivariate t linear mixed models for multiple longitudinal data
Statistica Sinica, 21, 4, 1857-1880, 2011-10-01
[ AR(p) , ECME algorithm , Outliers , Random effects , Score test ]
Accelerated life tests for weibull series systems with masked data
IEEE Transactions on Reliability, 60, 3, 557-569, 2011-09-01
[ Cumulative exposure model , EM algorithm , maximum likelihood estimation , type-I censoring , Weibull distribution ]
A Bayesian analysis on time series structural equation models
Journal of Statistical Planning and Inference, 141, 6, 2071-2078, 2011-06-01
[ Latent variables , MCMC , Structural equation model , Time series ]
A binary tree algorithm on change points detection
Quality and Quantity, 45, 3, 599-608, 2011-04-01
[ BIC , Binary trees , Change points , Switching regression models ]
ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
Computational Statistics and Data Analysis, 54, 5, 1328-1341, 2010-05-01
A bayesian zero-failure reliability demonstrationtest of highquality electro-explosive devices
Quality and Reliability Engineering International, 25, 8, 913-920, 2009-12-01
[ Accelerated experiment , Bayesian reliability demonstration test , Minimum sample size and testing length , Zero-failure reliability ]
The Bayesian approach for highly reliable electro-explosive devices using one-shot device testing
Journal of Statistical Computation and Simulation, 79, 9, 1143-1154, 2009-09-01
[ Bayesian approach , Censoring , Exponential distribution , Failure rate , High reliability , Lifetime , Markov chain Monte Carlo method , Metropolis-Hasting's alrogithm , Posterior distribution , Prior distribution ]
Expected posterior priors in selecting the largest mean of the exponential distributions
Communications in Statistics - Theory and Methods, 38, 10, 1561-1575, 2009-06-01
[ Bayes factor,Expected posterior prior,Mean lifetime,Objective Bayesian model selection ]
Exponential progressive step-stress life-testing with link function based on Box-Cox transformation
Journal of Statistical Planning and Inference, 138, 8, 2340-2354, 2008-08-01
[ Accelerated life-testing , Bayesian inference , Box-Cox transformation , Cumulative exposure model , Fisher-scoring algorithm , Link function , Markov chain Monte Carlo , Maximum likelihood estimates , Progressive censoring , Step-stress test ]
A Bayesian approach to assessing differential expression of microarray data
Journal of Statistical Computation and Simulation, 78, 2, 179-191, 2008-02-01
[ Bayesian statistics , CDNA Microarray , Gene expression , Markov chain Monte Carlo , Mixture models ]
Regression analysis for massive datasets
Data and Knowledge Engineering, 61, 3, 554-562, 2007-06-01
[ Best linear unbiased estimator , Minimum variance , Optimal weight ]
Tests and variables selection on regression analysis for massive datasets
Data and Knowledge Engineering, 63, 3, 811-819, 2007-01-01
[ Hypothesis testing , Lindley's paradox , Massive data , Regression analysis , Stepwise selection ]
Bayesian estimation of the number of change points in simple linear regression models
Communications in Statistics - Theory and Methods, 35, 4, 689-710, 2006-03-27
[ Bayesian estimation , Change points , Consistency , Linear regression ]
Bootstrapping prediction intervals on stochastic volatility models
Applied Economics Letters, 13, 1, 41-45, 2006-01-15
Bayesian change points analysis on the seismic activity in northeastern Taiwan
Journal of Statistical Computation and Simulation, 75, 11, 857-868, 2005-11-01
[ Bayesian change points analysis , BIC criteria , Reversible jump MCMC method , Seismic activity ]
A bayesian analysis for the seismic data on Taiwan
Annals of the Institute of Statistical Mathematics, 56, 4, 599-609, 2004-01-01
[ Conditional intensity function , Epidemic model , Hyperparameter , MCMC method , Prior distribution ]
An optimal algorithm for maximum-sum segment and its application in bioinformatics. Extended abstract
Lecture Notes in Computer Science, 2759, 251-257, 2003-01-01
Compaction of ordered dithered images with arithmetic coding
IEEE Transactions on Image Processing, 10, 5, 797-802, 2001-05-01
[ Arithmetic coding , Halftoning , Joint Bilevel Group (JBIG) , Ordered dither ]
Noninformative Bayesian estimation for the optimum in a single factor quadratic response model
Test, 10, 2, 225-240, 2001-01-01
[ Credible interval , Jeffreys prior , Noninformative prior , Posterior mean , Posterior variance , Reference prior , Response surface ]
Robust Bayesian displays for standard inferences concerning a normal mean
Computational Statistics and Data Analysis, 33, 4, 381-399, 2000-06-28
[ Bayes factor , Credible sets , Mixture importance sampling , One-sided testing , P -value , Point null hypothesis , Posterior mean , Posterior variance , Robust Bayesian analysis ]
Balanced importance resampling for Markov chains
Journal of Statistical Planning and Inference, 83, 1, 221-241, 2000-01-01
[ Balanced importance resampling , Bootstrap , Invariant distribution , Markov chains , Primary 62G05 , Secondary 60F05 , Transition probability ]
A Bayesian method in determining the order of a finite state Markov chain
Communications in Statistics - Theory and Methods, 28, 7, 1711-1730, 1999-01-01
[ AIC , Bayes factors , BIC , Noninformative priors , Order of a Markov chain ]
A Bayesian bootstrap for finite state Markov chains
Statistica Sinica, 7, 4, 1005-1019, 1997-10-01
[ Bayesian bootstrap , Hitting time , Markov chain , Matrix beta distribution , Transition probability ]
Balanced resampling for bootstrapping finite state Markov chains
Communications in Statistics Part B: Simulation and Computation, 26, 4, 1465-1475, 1997-01-01
[ Balanced resampling , Bootstrap , Markov chain , Stationary distribution , Transition probability , Uniform resampling ]
A Bayesian estimator of the optimum for a single factor quadratic response model
Biometrical Journal, 38, 2, 163-172, 1996-01-01
[ Generalized maximum likehood estimator , Posterior , Prior , Response surface ]
Bayesian bootstrap clones for finite state markov chains
Journal of Statistical Computation and Simulation, 53, 3-4, 289-298, 1995-01-01
[ Bayesian bootstrap clones , conjugate prior , Markov chain , stationary probability , transition probability ]
Computational algorithms in bayesian inferences for a normal mean with t prior distributions
Communications in Statistics Part B: Simulation and Computation, 23, 4, 1155-1174, 1994-01-01
[ likelihood,posterior mean,posterior variance,prior distribution ]
Behaviour of the Posterior Distribution and Inferences for a Normal Mean with T Prior Distributions1
Statistics and Risk Modeling, 10, 1-2, 99-120, 1992-01-01
[ bimodal posterior , Likelihood , posterior mean , posterior variance , prior distribution , tail behavior ]
Exact Convolution Of T Distributions, With Applications To Bayesian Inference For A Normal Mean With T Prior Distributions*
Journal of Statistical Computation and Simulation, 36, 4, 209-228, 1990-09-01
[ Behrens-Fisher problem , Convolution , marginal likelihood function , posterior mean , posterior variance ]
Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data
IEEE Transactions on Reliability,
[ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process ]
Optimal Sample Allocation of the Accelerated Life Tests Under Weibull Series Systems With Type-I Censoring Scheme
IEEE Transactions on Reliability,
[ D -optimality,accelerated life test ,constant stress,sample allocation,series system ]

研討會著作

General Random-Effects Trend Renewal Processes with Applications
2024-09-18
[ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]
General Random-Effects Trend Renewal Processes with Applications
2024-07-09
[ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]
Bayesian Analysis of Accelerated Trend Renewal Processes with Application to Lithium-ion Battery Data
2023-12-01
[ repairable system,trend-renewal process,predictive distribution,marginal likelihood ]
A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes
2023-08-22
[ posterior distribution,highest posterior density credible interval,predictive inference,deviance information criterion,posterior predictive p-value ]
A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes
2022-11-18
[ posterior distribution,highest posterior density credible interval,deviance information criterion,posterior predictive p-value. ]
2017 Joint Statistical Meetings
2017-07-31
[ Degradation test,Wiener process,Bayesian reliability,empirical Bayes,MCMC ]
Bayesian reliability analysis of accelerated gamma degradation processes with random effects and time-scale transformation
35-43, 2016-01-01
A new multichannel spectral approach for system identification
311-314, 1992-01-01
Testing hypothesis for signal detection
404-407, 1991-01-01

專書

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
239-250, 2003-01-01

校外榮譽

112 [國際統計學會 ( ISI )] 國際統計學會會士
111 [國際統計學會 ( ISI )] 國際統計學會會士
110 [國際統計學會 ( ISI )] 國際統計學會會士
109 [國際統計學會 ( ISI )] 國際統計學會會士
108 [國際統計學會 ( ISI )] 國際統計學會會士
107 [國際統計學會 ( ISI )] 國際統計學會會士

校內獲獎

113 特聘教授
112 研究傑出獎
111 研究傑出獎
108 特聘教授
105 特聘教授

期刊編輯

113 ~ 113 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員:副主編
113 ~ 113 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員--副主編
112 ~ 112 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
112 ~ 112 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員
111 ~ 112 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員
111 ~ 112 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
110 ~ 111 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
110 ~ 111 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員
109 ~ 110 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員
109 ~ 110 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
108 ~ 109 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員
108 ~ 109 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
107 ~ 108 Communications in Statistics - Theory and Methods ISSN 0361-0926 EISSN 1532-415X
編輯委員
107 ~ 108 Communications in Statistics Part B: Simulation and Computation ISSN 0361-0918 EISSN 1532-4141
編輯委員

樊采虹

Fan, Tsai-Hung

現職

專長

專長簡述

最高學歷

相關連結

科技部學門領域

政府GRB研究專長領域

教育部學門領域

國科會計畫統計

通用趨勢更新過程及其貝氏可靠度分析 1140801~1150731

隱馬爾可夫模型中的變化點估計和檢測 1070801~1080731

具隨機效應及時間尺度之貝氏衰退試驗 1060801~1071031 [衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]

隱馬爾可夫模型中的變化點估計和檢測 1060801~1070731

具隨機效應及時間尺度之貝氏衰退試驗 1050801~1060731 [衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]

期刊著作

Reliability Inference in GLFP Models Based on EM Algorithm With Related Application Applied Stochastic Models in Business and Industry, 41, 4, 2025-07-01 [ competing risks model,Fisher information matrix,masked data,mixture model ]

Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data IEEE Transactions on Reliability, 74, 3, 3083-3097, 2025-01-01 [ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process (TRP) ]

Acceleration invariance principle for Hougaard processes in degradation analysis Naval Research Logistics, 71, 2, 318-330, 2024-03-01 [ acceleration factor,gamma process,inverse Gaussian process,random effects,stochastic ordering ]

The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation Statistics and Computing, 33, 3, 2023-06-01 [ Characteristic function,Contour integration,Exponential dispersion model,Residue,Stirling numbers ]

Bayesian model selection for structural equation models for myopia data Communications in Statistics Part B: Simulation and Computation, 52, 11, 5680-5694, 2023-01-01 [ Latent variables,Longitudinal data,MCMC,mixture prior,Model selection,Structural equation model ]

Public opinion concerning governments' response to the COVID-19 pandemic PLoS ONE, 17, 3 March, 2022-03-01

Likelihood-based inference for a frailty-copula model based on competing risks failure time data Quality and Reliability Engineering International, 36, 5, 1622-1638, 2020-07-01 [ competing risk , copula , frailty , reliability , Weibull distribution ]

Comparison of optimal accelerated life tests with competing risks model under exponential distribution Quality and Reliability Engineering International, 2020-01-01 [ competing risks,constant-stress ALT,optimal design,step-stress ALT,Type-I censoring ]

A Bayesian Predictive Analysis of Step-Stress Accelerated Tests in Gamma Degradation-Based Processes Quality and Reliability Engineering International, 33, 7, 1417-1424, 2017-11-01 [ Bayesian reliability inference , gamma process , MCMC , step-stress accelerated degradation test ]

Statistical inference of a two-component series system with correlated log-normal lifetime distribution under multiple type-I censoring IEEE Transactions on Reliability, 64, 1, 376-385, 2015-03-01 [ Bivariate log-normal distribution , life test , multiple Type-I censoring , series system ]

Bayesian model averaging in longitudinal regression models with AR(1) errors with application to a myopia data set Journal of Statistical Computation and Simulation, 85, 8, 1667-1678, 2015-01-01 [ Bayesian model averaging , longitudinal regression model , MCMC , model walking algorithm ]

Constant stress accelerated life test on a multiple-component series system under weibull lifetime distributions Communications in Statistics - Theory and Methods, 43, 10-12, 2370-2383, 2014-05-15 [ Accelerated life tests,masked data,Series system,Weibull distributions ]

A new algorithm in bayesian model averaging in regression models Communications in Statistics Part B: Simulation and Computation, 43, 2, 315-328, 2014-01-01 [ Ayesian model averaging , Occams window , Regression models ]

An empirical Bayesian forecast in the threshold stochastic volatility models Journal of Statistical Computation and Simulation, 83, 3, 486-500, 2013-03-01 [ empirical Bayes , MCMC , stochastic volatility model , threshold , VaR ]

Bayesian inference of a series system on weibull step-stress accelerated life tests with dependent masking Quality Technology and Quantitative Management, 10, 3, 291-303, 2013-01-01 [ Cumulative exposure model , Masked , Step-stress accelerated lifetime test , Type-I censoring ]

Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers Journal of Multivariate Analysis, 105, 1, 300-310, 2012-02-01 [ Conditional conjugate priors , Hierarchical models , Inverse Bayes formulas , MCMC , Multivariate longitudinal data ]

Bayesian analysis of the structural equation models with application to a longitudinal myopia trial Statistics in Medicine, 31, 2, 188-200, 2012-01-30 [ Latent variables , Longitudinal data , MCMC , Posterior predictive p-values , Structural equation model ]

Estimation in multivariate t linear mixed models for multiple longitudinal data Statistica Sinica, 21, 4, 1857-1880, 2011-10-01 [ AR(p) , ECME algorithm , Outliers , Random effects , Score test ]

Accelerated life tests for weibull series systems with masked data IEEE Transactions on Reliability, 60, 3, 557-569, 2011-09-01 [ Cumulative exposure model , EM algorithm , maximum likelihood estimation , type-I censoring , Weibull distribution ]

A Bayesian analysis on time series structural equation models Journal of Statistical Planning and Inference, 141, 6, 2071-2078, 2011-06-01 [ Latent variables , MCMC , Structural equation model , Time series ]

A binary tree algorithm on change points detection Quality and Quantity, 45, 3, 599-608, 2011-04-01 [ BIC , Binary trees , Change points , Switching regression models ]

ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors Computational Statistics and Data Analysis, 54, 5, 1328-1341, 2010-05-01

Expected posterior priors in selecting the largest mean of the exponential distributions Communications in Statistics - Theory and Methods, 38, 10, 1561-1575, 2009-06-01 [ Bayes factor,Expected posterior prior,Mean lifetime,Objective Bayesian model selection ]

A Bayesian approach to assessing differential expression of microarray data Journal of Statistical Computation and Simulation, 78, 2, 179-191, 2008-02-01 [ Bayesian statistics , CDNA Microarray , Gene expression , Markov chain Monte Carlo , Mixture models ]

Regression analysis for massive datasets Data and Knowledge Engineering, 61, 3, 554-562, 2007-06-01 [ Best linear unbiased estimator , Minimum variance , Optimal weight ]

Tests and variables selection on regression analysis for massive datasets Data and Knowledge Engineering, 63, 3, 811-819, 2007-01-01 [ Hypothesis testing , Lindley's paradox , Massive data , Regression analysis , Stepwise selection ]

Bayesian estimation of the number of change points in simple linear regression models Communications in Statistics - Theory and Methods, 35, 4, 689-710, 2006-03-27 [ Bayesian estimation , Change points , Consistency , Linear regression ]

Bootstrapping prediction intervals on stochastic volatility models Applied Economics Letters, 13, 1, 41-45, 2006-01-15

Bayesian change points analysis on the seismic activity in northeastern Taiwan Journal of Statistical Computation and Simulation, 75, 11, 857-868, 2005-11-01 [ Bayesian change points analysis , BIC criteria , Reversible jump MCMC method , Seismic activity ]

A bayesian analysis for the seismic data on Taiwan Annals of the Institute of Statistical Mathematics, 56, 4, 599-609, 2004-01-01 [ Conditional intensity function , Epidemic model , Hyperparameter , MCMC method , Prior distribution ]

An optimal algorithm for maximum-sum segment and its application in bioinformatics. Extended abstract Lecture Notes in Computer Science, 2759, 251-257, 2003-01-01

Compaction of ordered dithered images with arithmetic coding IEEE Transactions on Image Processing, 10, 5, 797-802, 2001-05-01 [ Arithmetic coding , Halftoning , Joint Bilevel Group (JBIG) , Ordered dither ]

Noninformative Bayesian estimation for the optimum in a single factor quadratic response model Test, 10, 2, 225-240, 2001-01-01 [ Credible interval , Jeffreys prior , Noninformative prior , Posterior mean , Posterior variance , Reference prior , Response surface ]

Balanced importance resampling for Markov chains Journal of Statistical Planning and Inference, 83, 1, 221-241, 2000-01-01 [ Balanced importance resampling , Bootstrap , Invariant distribution , Markov chains , Primary 62G05 , Secondary 60F05 , Transition probability ]

A Bayesian method in determining the order of a finite state Markov chain Communications in Statistics - Theory and Methods, 28, 7, 1711-1730, 1999-01-01 [ AIC , Bayes factors , BIC , Noninformative priors , Order of a Markov chain ]

A Bayesian bootstrap for finite state Markov chains Statistica Sinica, 7, 4, 1005-1019, 1997-10-01 [ Bayesian bootstrap , Hitting time , Markov chain , Matrix beta distribution , Transition probability ]

Balanced resampling for bootstrapping finite state Markov chains Communications in Statistics Part B: Simulation and Computation, 26, 4, 1465-1475, 1997-01-01 [ Balanced resampling , Bootstrap , Markov chain , Stationary distribution , Transition probability , Uniform resampling ]

A Bayesian estimator of the optimum for a single factor quadratic response model Biometrical Journal, 38, 2, 163-172, 1996-01-01 [ Generalized maximum likehood estimator , Posterior , Prior , Response surface ]

Bayesian bootstrap clones for finite state markov chains Journal of Statistical Computation and Simulation, 53, 3-4, 289-298, 1995-01-01 [ Bayesian bootstrap clones , conjugate prior , Markov chain , stationary probability , transition probability ]

Computational algorithms in bayesian inferences for a normal mean with t prior distributions Communications in Statistics Part B: Simulation and Computation, 23, 4, 1155-1174, 1994-01-01 [ likelihood,posterior mean,posterior variance,prior distribution ]

Behaviour of the Posterior Distribution and Inferences for a Normal Mean with T Prior Distributions1 Statistics and Risk Modeling, 10, 1-2, 99-120, 1992-01-01 [ bimodal posterior , Likelihood , posterior mean , posterior variance , prior distribution , tail behavior ]

Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data IEEE Transactions on Reliability, [ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process ]

Optimal Sample Allocation of the Accelerated Life Tests Under Weibull Series Systems With Type-I Censoring Scheme IEEE Transactions on Reliability, [ D -optimality,accelerated life test ,constant stress,sample allocation,series system ]

研討會著作

General Random-Effects Trend Renewal Processes with Applications 2024-09-18 [ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]

General Random-Effects Trend Renewal Processes with Applications 2024-07-09 [ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]

Bayesian Analysis of Accelerated Trend Renewal Processes with Application to Lithium-ion Battery Data 2023-12-01 [ repairable system,trend-renewal process,predictive distribution,marginal likelihood ]

A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes 2023-08-22 [ posterior distribution,highest posterior density credible interval,predictive inference,deviance information criterion,posterior predictive p-value ]

A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes 2022-11-18 [ posterior distribution,highest posterior density credible interval,deviance information criterion,posterior predictive p-value. ]

2017 Joint Statistical Meetings 2017-07-31 [ Degradation test,Wiener process,Bayesian reliability,empirical Bayes,MCMC ]

Bayesian reliability analysis of accelerated gamma degradation processes with random effects and time-scale transformation 35-43, 2016-01-01

A new multichannel spectral approach for system identification 311-314, 1992-01-01

Testing hypothesis for signal detection 404-407, 1991-01-01

專書

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 239-250, 2003-01-01

校外榮譽

校內獲獎

期刊編輯

通用趨勢更新過程及其貝氏可靠度分析
1140801~1150731

隱馬爾可夫模型中的變化點估計和檢測
1070801~1080731

具隨機效應及時間尺度之貝氏衰退試驗
1060801~1071031
[衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]

隱馬爾可夫模型中的變化點估計和檢測
1060801~1070731

具隨機效應及時間尺度之貝氏衰退試驗
1050801~1060731
[衰退試驗,隨機效應,混和先驗分布,馬可夫鍊蒙地卡羅演算法,模型選擇,逐步試驗, , degradation tests,random effects,mixture prior,MCMC,model selection,sequential tests,]

Reliability Inference in GLFP Models Based on EM Algorithm With Related Application
Applied Stochastic Models in Business and Industry, 41, 4, 2025-07-01
[ competing risks model,Fisher information matrix,masked data,mixture model ]

Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data
IEEE Transactions on Reliability, 74, 3, 3083-3097, 2025-01-01
[ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process (TRP) ]

Acceleration invariance principle for Hougaard processes in degradation analysis
Naval Research Logistics, 71, 2, 318-330, 2024-03-01
[ acceleration factor,gamma process,inverse Gaussian process,random effects,stochastic ordering ]

The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation
Statistics and Computing, 33, 3, 2023-06-01
[ Characteristic function,Contour integration,Exponential dispersion model,Residue,Stirling numbers ]

Bayesian model selection for structural equation models for myopia data
Communications in Statistics Part B: Simulation and Computation, 52, 11, 5680-5694, 2023-01-01
[ Latent variables,Longitudinal data,MCMC,mixture prior,Model selection,Structural equation model ]

Public opinion concerning governments' response to the COVID-19 pandemic
PLoS ONE, 17, 3 March, 2022-03-01

Likelihood-based inference for a frailty-copula model based on competing risks failure time data
Quality and Reliability Engineering International, 36, 5, 1622-1638, 2020-07-01
[ competing risk , copula , frailty , reliability , Weibull distribution ]

Comparison of optimal accelerated life tests with competing risks model under exponential distribution
Quality and Reliability Engineering International, 2020-01-01
[ competing risks,constant-stress ALT,optimal design,step-stress ALT,Type-I censoring ]

A Bayesian Predictive Analysis of Step-Stress Accelerated Tests in Gamma Degradation-Based Processes
Quality and Reliability Engineering International, 33, 7, 1417-1424, 2017-11-01
[ Bayesian reliability inference , gamma process , MCMC , step-stress accelerated degradation test ]

Statistical inference of a two-component series system with correlated log-normal lifetime distribution under multiple type-I censoring
IEEE Transactions on Reliability, 64, 1, 376-385, 2015-03-01
[ Bivariate log-normal distribution , life test , multiple Type-I censoring , series system ]

Bayesian model averaging in longitudinal regression models with AR(1) errors with application to a myopia data set
Journal of Statistical Computation and Simulation, 85, 8, 1667-1678, 2015-01-01
[ Bayesian model averaging , longitudinal regression model , MCMC , model walking algorithm ]

Constant stress accelerated life test on a multiple-component series system under weibull lifetime distributions
Communications in Statistics - Theory and Methods, 43, 10-12, 2370-2383, 2014-05-15
[ Accelerated life tests,masked data,Series system,Weibull distributions ]

A new algorithm in bayesian model averaging in regression models
Communications in Statistics Part B: Simulation and Computation, 43, 2, 315-328, 2014-01-01
[ Ayesian model averaging , Occams window , Regression models ]

An empirical Bayesian forecast in the threshold stochastic volatility models
Journal of Statistical Computation and Simulation, 83, 3, 486-500, 2013-03-01
[ empirical Bayes , MCMC , stochastic volatility model , threshold , VaR ]

Bayesian inference of a series system on weibull step-stress accelerated life tests with dependent masking
Quality Technology and Quantitative Management, 10, 3, 291-303, 2013-01-01
[ Cumulative exposure model , Masked , Step-stress accelerated lifetime test , Type-I censoring ]

Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers
Journal of Multivariate Analysis, 105, 1, 300-310, 2012-02-01
[ Conditional conjugate priors , Hierarchical models , Inverse Bayes formulas , MCMC , Multivariate longitudinal data ]

Bayesian analysis of the structural equation models with application to a longitudinal myopia trial
Statistics in Medicine, 31, 2, 188-200, 2012-01-30
[ Latent variables , Longitudinal data , MCMC , Posterior predictive p-values , Structural equation model ]

Estimation in multivariate t linear mixed models for multiple longitudinal data
Statistica Sinica, 21, 4, 1857-1880, 2011-10-01
[ AR(p) , ECME algorithm , Outliers , Random effects , Score test ]

Accelerated life tests for weibull series systems with masked data
IEEE Transactions on Reliability, 60, 3, 557-569, 2011-09-01
[ Cumulative exposure model , EM algorithm , maximum likelihood estimation , type-I censoring , Weibull distribution ]

A Bayesian analysis on time series structural equation models
Journal of Statistical Planning and Inference, 141, 6, 2071-2078, 2011-06-01
[ Latent variables , MCMC , Structural equation model , Time series ]

A binary tree algorithm on change points detection
Quality and Quantity, 45, 3, 599-608, 2011-04-01
[ BIC , Binary trees , Change points , Switching regression models ]

ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
Computational Statistics and Data Analysis, 54, 5, 1328-1341, 2010-05-01

Expected posterior priors in selecting the largest mean of the exponential distributions
Communications in Statistics - Theory and Methods, 38, 10, 1561-1575, 2009-06-01
[ Bayes factor,Expected posterior prior,Mean lifetime,Objective Bayesian model selection ]

A Bayesian approach to assessing differential expression of microarray data
Journal of Statistical Computation and Simulation, 78, 2, 179-191, 2008-02-01
[ Bayesian statistics , CDNA Microarray , Gene expression , Markov chain Monte Carlo , Mixture models ]

Regression analysis for massive datasets
Data and Knowledge Engineering, 61, 3, 554-562, 2007-06-01
[ Best linear unbiased estimator , Minimum variance , Optimal weight ]

Tests and variables selection on regression analysis for massive datasets
Data and Knowledge Engineering, 63, 3, 811-819, 2007-01-01
[ Hypothesis testing , Lindley's paradox , Massive data , Regression analysis , Stepwise selection ]

Bayesian estimation of the number of change points in simple linear regression models
Communications in Statistics - Theory and Methods, 35, 4, 689-710, 2006-03-27
[ Bayesian estimation , Change points , Consistency , Linear regression ]

Bootstrapping prediction intervals on stochastic volatility models
Applied Economics Letters, 13, 1, 41-45, 2006-01-15

Bayesian change points analysis on the seismic activity in northeastern Taiwan
Journal of Statistical Computation and Simulation, 75, 11, 857-868, 2005-11-01
[ Bayesian change points analysis , BIC criteria , Reversible jump MCMC method , Seismic activity ]

A bayesian analysis for the seismic data on Taiwan
Annals of the Institute of Statistical Mathematics, 56, 4, 599-609, 2004-01-01
[ Conditional intensity function , Epidemic model , Hyperparameter , MCMC method , Prior distribution ]

An optimal algorithm for maximum-sum segment and its application in bioinformatics. Extended abstract
Lecture Notes in Computer Science, 2759, 251-257, 2003-01-01

Compaction of ordered dithered images with arithmetic coding
IEEE Transactions on Image Processing, 10, 5, 797-802, 2001-05-01
[ Arithmetic coding , Halftoning , Joint Bilevel Group (JBIG) , Ordered dither ]

Noninformative Bayesian estimation for the optimum in a single factor quadratic response model
Test, 10, 2, 225-240, 2001-01-01
[ Credible interval , Jeffreys prior , Noninformative prior , Posterior mean , Posterior variance , Reference prior , Response surface ]

Balanced importance resampling for Markov chains
Journal of Statistical Planning and Inference, 83, 1, 221-241, 2000-01-01
[ Balanced importance resampling , Bootstrap , Invariant distribution , Markov chains , Primary 62G05 , Secondary 60F05 , Transition probability ]

A Bayesian method in determining the order of a finite state Markov chain
Communications in Statistics - Theory and Methods, 28, 7, 1711-1730, 1999-01-01
[ AIC , Bayes factors , BIC , Noninformative priors , Order of a Markov chain ]

A Bayesian bootstrap for finite state Markov chains
Statistica Sinica, 7, 4, 1005-1019, 1997-10-01
[ Bayesian bootstrap , Hitting time , Markov chain , Matrix beta distribution , Transition probability ]

Balanced resampling for bootstrapping finite state Markov chains
Communications in Statistics Part B: Simulation and Computation, 26, 4, 1465-1475, 1997-01-01
[ Balanced resampling , Bootstrap , Markov chain , Stationary distribution , Transition probability , Uniform resampling ]

A Bayesian estimator of the optimum for a single factor quadratic response model
Biometrical Journal, 38, 2, 163-172, 1996-01-01
[ Generalized maximum likehood estimator , Posterior , Prior , Response surface ]

Bayesian bootstrap clones for finite state markov chains
Journal of Statistical Computation and Simulation, 53, 3-4, 289-298, 1995-01-01
[ Bayesian bootstrap clones , conjugate prior , Markov chain , stationary probability , transition probability ]

Computational algorithms in bayesian inferences for a normal mean with t prior distributions
Communications in Statistics Part B: Simulation and Computation, 23, 4, 1155-1174, 1994-01-01
[ likelihood,posterior mean,posterior variance,prior distribution ]

Behaviour of the Posterior Distribution and Inferences for a Normal Mean with T Prior Distributions1
Statistics and Risk Modeling, 10, 1-2, 99-120, 1992-01-01
[ bimodal posterior , Likelihood , posterior mean , posterior variance , prior distribution , tail behavior ]

Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data
IEEE Transactions on Reliability,
[ End of performance,marginal likelihood,predictive distribution,repairable system,trend-renewal process ]

Optimal Sample Allocation of the Accelerated Life Tests Under Weibull Series Systems With Type-I Censoring Scheme
IEEE Transactions on Reliability,
[ D -optimality,accelerated life test ,constant stress,sample allocation,series system ]

General Random-Effects Trend Renewal Processes with Applications
2024-09-18
[ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]

General Random-Effects Trend Renewal Processes with Applications
2024-07-09
[ Repairable system,accelerated trend renewal process, inverse Gaussian distribution, link function, end of performance (EOP). ]

Bayesian Analysis of Accelerated Trend Renewal Processes with Application to Lithium-ion Battery Data
2023-12-01
[ repairable system,trend-renewal process,predictive distribution,marginal likelihood ]

A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes
2023-08-22
[ posterior distribution,highest posterior density credible interval,predictive inference,deviance information criterion,posterior predictive p-value ]

A Complete Bayesian Degradation Analysis based on the Inverse Gaussian Processes
2022-11-18
[ posterior distribution,highest posterior density credible interval,deviance information criterion,posterior predictive p-value. ]

2017 Joint Statistical Meetings
2017-07-31
[ Degradation test,Wiener process,Bayesian reliability,empirical Bayes,MCMC ]

Bayesian reliability analysis of accelerated gamma degradation processes with random effects and time-scale transformation
35-43, 2016-01-01

A new multichannel spectral approach for system identification
311-314, 1992-01-01

Testing hypothesis for signal detection
404-407, 1991-01-01

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
239-250, 2003-01-01