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Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2015, Volume 24, Issue 4, pp. 1134 - 1154
The multiset sampler, an MCMC algorithm recently proposed by Leman and coauthors, is an easy-to-implement algorithm which is especially well-suited to drawing... 
Mixture model | Gene expression study | Metropolis | Local trap | Advanced MCMC | Importance sampling | CHAIN | GIBBS SAMPLER | GENE-EXPRESSION | STATISTICS & PROBABILITY
Journal Article
Journal of Educational and Behavioral Statistics, ISSN 1076-9986, 12/2016, Volume 41, Issue 6, pp. 628 - 649
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 07/2019, Volume 41, Issue 7, pp. 1709 - 1719
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2016, Volume 17, Issue 30, pp. 1 - 39
We propose a Gibbs sampler for structure learning in directed acyclic graph (DAG) models. The standard Markov chain Monte Carlo algorithms used for learning... 
Structure learning | Bayesian networks | Gibbs sampling | DAGs | Markov chain Monte Carlo | Variable selection | ALGORITHM | variable selection | STRUCTURE DISCOVERY | structure learning | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GRAPHS
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 06/2008, Volume 103, Issue 482, pp. 790 - 796
Journal Article
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2009, Volume 104, Issue 487, pp. 1029 - 1041
Journal Article
Digital Signal Processing, ISSN 1051-2004, 03/2018, Volume 74, pp. 1 - 13
Monte Carlo methods are essential tools for Bayesian inference. Gibbs sampling is a well-known Markov chain Monte Carlo (MCMC) algorithm, extensively used in... 
Automatic relevance determination (ARD) | Bayesian inference | Gibbs sampling | Markov Chain Monte Carlo (MCMC) | Gaussian Processes (GP) | REJECTION | PERFORMANCE | ALGORITHMS | LAND-SURFACE TEMPERATURE | RETRIEVAL | ENGINEERING, ELECTRICAL & ELECTRONIC | Engineering Sciences | Signal and Image Processing | Computer Science
Journal Article
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2018, pp. 1 - 17
Journal Article
Stochastic Processes and their Applications, ISSN 0304-4149, 09/2019, Volume 129, Issue 9, pp. 3570 - 3584
The paper concerns a particular example of the Gibbs sampler and its mixing efficiency. Coordinates of a point are rerandomized in the unit square to approach... 
Markov chain | Gibbs sampler | Mixing time | STATISTICS & PROBABILITY | Markov processes
Journal Article
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 06/2017, Volume 78, Issue CN1, pp. 1 - 22
The R package MfUSampler provides Markov chain Monte Carlo machinery for generating samples from multivariate probability distributions using univariate... 
Metropolis | Gibbs sampling | Markov chain Monte Carlo | Adaptive rejection sampler | Slice sampler | DISTRIBUTIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | slice sampler | adaptive rejection sampler | MARKOV-CHAINS | HAMILTONIAN MONTE-CARLO | STATISTICS & PROBABILITY
Journal Article
Bernoulli, ISSN 1350-7265, 02/2017, Volume 23, Issue 1, pp. 603 - 625
We establish results for the rate of convergence in total variation of a particular Gibbs sampler to its equilibrium distribution. This sampler is for a... 
Gamma distribution | Markov chain | Convergence rate | Coupling | Hierarchical Gibbs sampler | Stochastic monotonicity | DISTRIBUTIONS | coupling | hierarchical Gibbs sampler | gamma distribution | BOUNDS | STATISTICS & PROBABILITY | stochastic monotonicity | convergence rate
Journal Article
Annales de l'institut Henri Poincare (B) Probability and Statistics, ISSN 0246-0203, 11/2016, Volume 52, Issue 4, pp. 1687 - 1733
This article analyses a new class of advanced particle Markov chain Monte Carlo algorithms recently introduced by Andrieu, Doucet and Holenstein (J. R. Stat.... 
Particle Gibbs sampling | Sequential Monte Carlo methods | Feynman-Kac models | Markov chain Monte Carlo methods | MONTE-CARLO METHODS | PARALLEL IMPLEMENTATION | FILTERS | STATISTICS & PROBABILITY | SIMULATION | BAYESIAN-INFERENCE
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 10/2014, Volume 78, pp. 141 - 152
A modified conditional Metropolis–Hastings sampler for general state spaces is introduced. Under specified conditions, this modification can lead to... 
Gibbs sampler | Metropolis–Hastings | Geometric ergodicity | Markov chain Monte Carlo | Metropolis-Hastings | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Samplers | Computation | Data processing | Statistics | Bayesian analysis | Gain | Convergence
Journal Article
The Annals of Applied Probability, ISSN 1050-5164, 2/2014, Volume 24, Issue 1, pp. 114 - 130
We determine the mixing time of a simple Gibbs sampler on the unit simplex, confirming a conjecture of Aldous. The upper bound is based on a two-step coupling,... 
Mathematical monotonicity | Random walk | Markov chains | Coordinate systems | Markovs inequality | Random variables | Preprints | Markov chain | Gibbs sampler | RANDOM-WALKS | CONVERGENCE | STATISTICS & PROBABILITY | perfect sampling | CHAIN MONTE-CARLO | 60J10 | 65C04
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2019, Volume 114, Issue 527, pp. 1205 - 1217
We consider the computational and statistical issues for high-dimensional Bayesian model selection under the Gaussian spike and slab priors. To avoid large... 
High-dimensional data | Logistic regression | Bayesian computation | Gibbs sampling | Scalable computation | Variable selection | Statistical analysis | Statistical models | Estimating techniques | Computer simulation | Bayesian analysis | Generalized linear models
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/1992, Volume 87, Issue 419, pp. 861 - 868
Journal Article
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