Title	Publication Date	Language	Citations
Multivariate mixtures of normals with unknown number of components	2006/01/01	English	68
Copula, marginal distributions and model selection: a Bayesian note	2008/03/14	English	66
Bayesian sequential inference for nonlinear multivariate diffusions	2006/12/01	English	65
Finite mixtures of matrix normal distributions for classifying three-way data	2010/05/26	English	64
Global sensitivity analysis of stochastic computer models with joint metamodels	2011/11/06	English	63
Clustering via nonparametric density estimation	2007/02/03	English	62
Sequential Monte Carlo on large binary sampling spaces	2011/11/29	English	61
Generic reversible jump MCMC using graphical models	2008/09/27	English	61
Mean and median bias reduction in generalized linear models	2019/03/04	English	60
Nonparametric empirical Bayes for the Dirichlet process mixture model	2006/01/01	English	60
Finite mixtures of canonical fundamental skew $$t$$ t -distributions	2015/02/28	English	60
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications	2006/06/01	English	58
Quantile regression for longitudinal data based on latent Markov subject-specific parameters	2010/10/27	English	58
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models	2009/05/07	English	58
Fast simulation of truncated Gaussian distributions	2010/01/07	English	57
D-optimal designs via a cocktail algorithm	2010/06/09	English	57
Proximal Markov chain Monte Carlo algorithms	2015/05/31	English	57
Bootstrapping and permuting paired t-test type statistics	2013/01/08	English	56
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels	2014/12/10	English	56
Bayesian neural networks for nonlinear time series forecasting	2005/01/01	English	56
Cuts in Bayesian graphical models	2014/11/27	English	56
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering	2013/08/22	English	56
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation	2019/02/15	English	55
Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo	2010/07/03	English	54
Hierarchical Gaussian process mixtures for regression	2005/01/01	English	54
Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data	2008/12/04	English	52
Hierarchical Bayesian level set inversion	2016/09/21	English	52
Layered adaptive importance sampling	2016/03/14	English	51
Efficient Monte Carlo simulation via the generalized splitting method	2010/09/16	English	51
Computational methods for complex stochastic systems: a review of some alternatives to MCMC	2007/11/29	English	51