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