Markov chain Monte Carlo approach to the analysis of response patterns in data collection process

Economic design of multiple inspection plans via the expectation-maximization algorithm

(2022) Young H. Chun   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation

(2022) Federico Camerlenghi et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

(2021) Lorenzo Masoero et al.   BIOMETRIKA

Repetitive inspection scheme based on the run length of test results: A Markov chain Monte Carlo approach

(2020) Young H. Chun et al.   Quality Engineering

The Hastings algorithm at fifty

(2019) D B Dunson et al.   BIOMETRIKA

Stan: A Probabilistic Programming Language

(2017) Bob Carpenter et al.   Journal of Statistical Software

Designing repetitive screening procedures with imperfect inspections: An empirical Bayes approach

(2016) Young H. Chun   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Imperfect debugging in software reliability: A Bayesian approach

(2012) Tevfik Aktekin et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Questionnaire design improvement and missing item scores estimation for rapid and efficient decision making

(2011) Daji Ergu et al.   ANNALS OF OPERATIONS RESEARCH

Monte Carlo analysis of estimation methods for the prediction of customer response patterns in direct marketing

(2011) Young H. Chun   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data

(2011) Christian Robert et al.   STATISTICAL SCIENCE

An embedded Markov chain approach to stock rationing

(2010) Mehmet Murat Fadıloğlu et al.   OPERATIONS RESEARCH LETTERS

Forecasting and operational research: a review

(2008) R Fildes et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Bayesian Analysis of the Sequential Inspection Plan via the Gibbs Sampler

(2008) Young H. Chun   OPERATIONS RESEARCH