Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models

What Does Objective Mean in a Dirichlet-multinomial Process?

(2017) Danilo Alvares et al.   INTERNATIONAL STATISTICAL REVIEW

A Practical Sequential Stopping Rule for High-Dimensional Markov Chain Monte Carlo

(2016) Lei Gong et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

conting: AnRPackage for Bayesian Analysis of Complete and Incomplete Contingency Tables

(2015) Antony M. Overstall et al.   Journal of Statistical Software

Bayesian model selection for LISA pathfinder

(2014) Nikolaos Karnesis et al.   PHYSICAL REVIEW D

Markov chain Monte Carlo estimation of quantiles

(2014) Charles R. Doss et al.   Electronic Journal of Statistics

Bayesian Multimodel Inference by RJMCMC: A Gibbs Sampling Approach

(2013) Richard J. Barker et al.   AMERICAN STATISTICIAN

RcppArmadillo: Accelerating R with high-performance C++ linear algebra

(2013) Dirk Eddelbuettel et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A default prior distribution for contingency tables with dependent factor levels

(2013) Antony M. Overstall et al.   Statistical Methodology

A tutorial on Bayes factor estimation with the product space method

(2011) Tom Lodewyckx et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

(2010) James G. Scott et al.   ANNALS OF STATISTICS

Reversible jump methods for generalised linear models and generalised linear mixed models

(2010) Jonathan J. Forster et al.   STATISTICS AND COMPUTING

Capture-Recapture Estimation Using Finite Mixtures of Arbitrary Dimension

(2009) Richard Arnold et al.   BIOMETRICS