Title	Publication Date	Language	Citations
Variable Selection in Seemingly Unrelated Regressions with Random Predictors	2017/12/01		2
Likelihood-Free Inference by Ratio Estimation	2022/03/01		2
Centered Partition Processes: Informative Priors for Clustering (with Discussion)	2021/03/01		2
Bayesian generalized method of moments	2009/06/01		2
The Horseshoe+ Estimator of Ultra-Sparse Signals	2017/12/01		2
Adaptive Tuning of Hamiltonian Monte Carlo Within Sequential Monte Carlo	2021/09/01		2
Hierarchical Shrinkage Priors for Regression Models	2017/03/01		2
On some difficulties with a posterior probability approximation technique	2008/06/01		2
On Posterior Concentration in Misspecified Models	2015/12/01		2
Posterior Consistency of Bayesian Quantile Regression Based on the Misspecified Asymmetric Laplace Density	2013/06/01		2
Laplace Approximation for Logistic Gaussian Process Density Estimation and Regression	2014/06/01		2
Model selection and adaptive Markov chain Monte Carlo for Bayesian cointegrated {VAR} models	2010/09/01		2
Modularization in Bayesian analysis, with emphasis on analysis of computer models	2009/03/01		2
Scaling It Up: Stochastic Search Structure Learning in Graphical Models	2015/06/01		2
Overall Objective Priors	2015/03/01		2
Simultaneous Linear Quantile Regression: A Semiparametric Bayesian Approach	2012/03/01		2
Combining Expert Opinions in Prior Elicitation	2012/09/01		2
Simulation-based Regularized Logistic Regression	2012/09/01		2
Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination	2011/06/01		2
Nonparametric Bayesian models through probit stick-breaking processes	2011/03/01		2
Sequential Monte Carlo Smoothing with Parameter Estimation	2018/12/01		2
Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling	2019/12/01		2
Estimating the Marginal Likelihood Using the Arithmetic Mean Identity	2017/03/01		2
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter	2022/03/01		2
Posterior Consistency of Factor Dimensionality in High-Dimensional Sparse Factor Models	2022/06/01		2
Predictive inference with Fleming–Viot-driven dependent Dirichlet processes	2021/06/01		2
A Phase I–II Basket Trial Design to Optimize Dose-Schedule Regimes Based on Delayed Outcomes	2021/03/01		2
Bayesian functional {ANOVA} modeling using Gaussian process prior distributions	2010/03/01		2
Default priors for density estimation with mixture models	2010/03/01		2
Splitting and merging components of a nonconjugate Dirichlet process mixture model	2007/09/01		2