A scalable and efficient covariate selection criterion for mixed effects
regression models with unknown random effects structure (2018).
Computational Statistics & Data Analysis,
117, 154-161. (with Thierry Duchesne) ( pdf)
Discussion of:Efficient Metropolis-Hastings Proposal Mechanisms
Bayesian Regression Tree Models by Matthew Pratola (2016).
Bayesian Analysis, 11, No. 3, 935-937.
Reihaneh Entezari and Jeff Rosenthal) (pdf)
Embarassingly Parallel Sequential Markov chain Monte Carlo for Large Sets of Time
Series (2016). Statistics and Its Interface, 9, No. 4, 497-508 (in a special issue of SII dedicated to Statistical and
Computational Theory and Methodology for Big Data). (with Roberto Casarin and Fabrizio Leisen) ( pdf)
Stability of Adversarial Markov chains, with an Application to Adaptive MCMC
Algorithms (2015). Annals of Applied Probability,
25, 3592--3623. (with Lawrence Gray,
Krzysztof Latuszynski, Neal Madras, Gareth O. Roberts and Jeffrey S. Rosenthal)
A Note on the Efficiencies of Sampling Strategies in
Regional Fine Mapping of a Quantitative Trait (2014).
38, 599--609. (with Zhijian
Chen§ and Shelley Bull).
Bayesian Methods in Fisher's Statistical Genetics World (2014). In
in Action: A Canadian Outlook, Edited by J. Lawless. (with Lei Sun) (pdf
Minimum Description Length Principle for Linear Mixed Effects Models
Sinica, 24, 1161--1178. (with Li Li§, Fang Yao and Jialin Zou). (pdf)
Using a Bayesian Latent Variable Approach to Detect
Pleiotropy in the Genetic Analysis Workshop 18 Data (2014). BMC Proceedings, 8, S:77. (with
Lizhen Xu§, Andriy Derkach, Andrew Paterson
and Lei Sun). (pdf)
Interacting Multiple Try Algorithms with Different
Proposal Distributions (2013). Statistics
and Computing, 23, No. 2, 185--200. (with Roberto Casarin
and Fabrizio Leisen). (pdf)
In Mixed Company: Bayesian Inference for Bivariate
Conditional Copula Models with Discrete and Continuous Outcomes
Journal of Multivariate Analysis, No. 110, 106--120 (in a
special issue of JMVA dedicated to copula models). (with Avideh
Conditional logistic regression with longitudinal follow up and individual-level
random coefficients: A stable and
efficient two-step estimation method (2011).
Journal of Computational and Graphical Statistics, 20, No. 3, 767--784. (with Thierry Duchesne,
Daniel Fortin and Sophie Baillargeon). (pdf). Supplementary
material is available
here. The R package TwoStepCLogit that implements the methods in the paper is available here.
Dependence Calibration in Conditional Copulas: A Nonparametric
Approach (2011). Biometrics, 67, No. 2, 445--453. (with
Elif F. Acar§
and Fang Yao).
Supplementary material is available
Invited Discussion of: Predictive Comparison of Joint
A Case Study Illustrating Competing Approaches, by Timothy Hanson,
Adam Branscum and Wesley Johnson (2011). Lifetime Data
Analysis , 17, No. 1, 33--36. (pdf) (See also Original paper and
Perfection Within Reach: Exact MCMC Sampling (2011). In
Handbook of Markov Chain Monte Carlo. Edited by Steve Brooks,
Gelman, Galin Jones and Xiao-Li Meng. (with Xiao-Li Meng). (pdf)
Nonparametric Covariate Adjustment for Receiver Operating Characteristic
Curves (2010). The
Canadian Journal of Statistics, 38, No. 1, 27-46. (with Fang Yao and
pdf) Supplementary material for the paper is
On the Choice of Parametric Families of Copulas (2008).
and Applications in Statistics , 10, No. 1, 25--40.
(with Mariana Craiu)
Choosing the lesser evil: trade-off between false discovery rate and
non-discovery rate (2008).
Statistica Sinica, 18, No. 3, 861--879. (with
Lei Sun) (pdf)
Generalized estimating equations and model selection for
longitudinal conditional logistic regression (2008).
Biometrical Journal, 50, No. 1, 97--109. (with Thierry
Duchesne and Daniel Fortin) (pdf). Correction
Acceleration of the Multiple-try Metropolis Algorithm using
Antithetic and Stratified sampling (2007). Statistics and Computing,
17, No. 2, 109--120. (with Christiane Lemieux) ( pdf)
Stratified False Discovery Control for Large-scale Hypothesis Testing with
Genome-Wide Association Studies (2006). Genetic
Epidemiology, 30, No. 6, 519--530. (with Lei
Sun, Andrew Paterson and Shelley Bull) (pdf)
Meeting Hausdorff in Monte Carlo: A
Surprising Tour with the Antihype Fractal (2006). Statistica
Sinica , 16, No. 1, 77--91. (with Xiao-Li Meng) (pdf)
Inference for the dependent competing risks model with masked causes
of failure (2006). Lifetime Data
Analysis, 12, No. 1, 21--33. (with Benjamin Reiser)
Model Selection for
the Competing Risks Model With and Without Masking (2005). Technometrics, 47, No. 4, 457--467. (with Thomas C.M. Lee) (pdf)
antithetic coupling for forward and backward Markov chain Monte Carlo
(2005). Annals of Statistics,
33, No. 2, 661--697. (with Xiao-Li Meng) ( pdf
Using EM and Data Augmentation for the competing risks model
(2004). In Applied Bayesian Modeling and Causal Inference from an
Incomplete-Data Perspective. Edited by A. Gelman and X.L. Meng,
Wiley. (with Thierry Duchesne) ( pdf)
Inference based on
the EM algorithm for the competing risks model with masked causes of
failure (2004). Biometrika, 91, No. 3, 543--558. (with Thierry Duchesne) (pdf)
Efficient bootstrap resampling (2001).
UPB Scientific Bulletin, Series A, 3, 3--10. (pdf)
Antithetic coupling for perfect sampling (2001).
In Bayesian Methods with Applications to Science, Policy, and
Official Statistics - Selected Papers from ISBA 2000. Edited by
E. I. George. (with Xiao-Li Meng) (pdf)
Bayesian reliability estimates in the exponential case. (1999)
Romanian Journal of Pure and Applied Mathematics , XLIV, 353-359.
Bayesian inference in doubly truncated Laplace distribution. (1996)
Romanian Journal of Pure and Applied Mathematics, XLI, 473-481.