期刊著作

• 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 ]

研討會著作

• 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