Radu Craiu

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Xiao-Li MengHarvard UniversityVerified email at stat.harvard.edu
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu
Lei SunUniversity of TorontoVerified email at utstat.toronto.edu
Thierry DuchesneProfessor of Statistics, Université LavalVerified email at mat.ulaval.ca
Fang YaoPeking UniversityVerified email at math.pku.edu.cn
Andrew D PatersonSenior Scientist, Hospital for Sick ChildrenVerified email at sickkids.ca
Roberto CASARINCa' Foscari University of VeniceVerified email at unive.it
Daniel FortinUniversité LavalVerified email at bio.ulaval.ca
Fabrizio LeisenKing's College LondonVerified email at kcl.ac.uk
Osvaldo Espin-GarciaEpidemiology and Biostatistics, University of Western OntarioVerified email at uwo.ca
Sophie BaillargeonPh.D. student in statistics, Université LavalVerified email at mat.ulaval.ca
Christiane LemieuxStatistics and Actuarial Science, University of WaterlooVerified email at uwaterloo.ca
Benjamin ReiserDepartment of Statistics, University of HaifaVerified email at stat.haifa.ac.il
Bo ChenNankai UniversityVerified email at nankai.edu.cn
lisa strugProfessor, University of Toronto and Senior Scientist, SickKids Research InstituteVerified email at utoronto.ca
Mian WeiUniversity of TorontoVerified email at dgp.toronto.edu
Caren HaslerUniversity of NeuchâtelVerified email at unine.ch
Wei Q. DengMcMaster UniversityVerified email at mcmaster.ca
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk

Radu Craiu

Professor of Statistics, University of Toronto

Verified email at utstat.toronto.edu - Homepage

Markov chain Monte Carlo Copula Modeling Bayesian Statistics Copulas Model Selection


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Handbook of markov chain monte carlo S Brooks, A Gelman, G Jones, XL Meng CRC press, 2011	3586	2011
Learn from thy neighbor: Parallel-chain and regional adaptive MCMC RV Craiu, J Rosenthal, C Yang Journal of the American Statistical Association 104 (488), 1454-1466, 2009	242*	2009
Using EM and data augmentation for the competing risks model RV Craiu, T Duchesne Applied Bayesian modeling and causal inference from an incomplete-data …, 2004	234*	2004
Stratified false discovery control for large‐scale hypothesis testing with application to genome‐wide association studies L Sun, RV Craiu, AD Paterson, SB Bull Genetic Epidemiology: The Official Publication of the International Genetic …, 2006	184	2006
Unbiased Markov chain Monte Carlo methods with couplings PE Jacob, O'Leary J., YF Atchade Journal of the Royal Statistical Society: Series B 82 (4), 543-600, 2020	155	2020
Dependence calibration in conditional copulas: A nonparametric approach EF Acar, RV Craiu, F Yao Biometrics 67 (2), 445-453, 2011	131	2011
Inference methods for the conditional logistic regression model with longitudinal data RV Craiu, T Duchesne, D Fortin Biometrical Journal: Journal of Mathematical Methods in Biosciences 50 (1 …, 2008	128	2008
Bayesian computation via markov chain monte carlo RV Craiu, JS Rosenthal Annual Review of Statistics and Its Application 1 (1), 179-201, 2014	95	2014
Acceleration of the multiple-try Metropolis algorithm using antithetic and stratified sampling RV Craiu, C Lemieux Statistics and computing 17, 109-120, 2007	85	2007
Multiprocess parallel antithetic coupling for backward and forward Markov chain Monte Carlo RV Craiu, XL Meng	74	2005
Inference based on the EM algorithm for the competing risks model with masked causes of failure RV Craiu, T Duchesne Biometrika 91 (3), 543-558, 2004	69	2004
Interacting multiple try algorithms with different proposal distributions R Casarin, R Craiu, F Leisen Statistics and Computing 23, 185-200, 2013	65	2013
Statistical testing of covariate effects in conditional copula models EF Acar, RV Craiu, F Yao	61	2013
In mixed company: Bayesian inference for bivariate conditional copula models with discrete and continuous outcomes VR Craiu, A Sabeti Journal of Multivariate Analysis 110, 106-120, 2012	55	2012
Conditional logistic regression with longitudinal follow-up and individual-level random coefficients: a stable and efficient two-step estimation method RV Craiu, T Duchesne, D Fortin, S Baillargeon Journal of Computational and Graphical Statistics 20 (3), 767-784, 2011	53	2011
Inference for the dependent competing risks model with masked causes of failure RV Craiu, B Reiser Lifetime data analysis 12, 21-33, 2006	53	2006
Choosing the lesser evil: trade-off between false discovery rate and non-discovery rate RV Craiu, L Sun Statistica Sinica, 861-879, 2008	42	2008
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies B Chen, RV Craiu, LJ Strug, L Sun Genetic epidemiology 45 (7), 694-709, 2021	38	2021
Divide and Conquer: A Mixture-Based Approach to Regional Adaptation for MCMC Y Bai, RV Craiu, A Di Narzo J. Comput. Graphical Statistics 20 (1), 63-79, 2011	38	2011
Additive models for conditional copulas A Sabeti, M Wei, RV Craiu Stat 3 (1), 300-312, 2014	36	2014

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