Radu Craiu

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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 utoronto.ca
Daniel FortinUniversité LavalVerified email at bio.ulaval.ca
Roberto CASARINUniversity Ca' Foscari of VeniceVerified email at unive.it
Fabrizio LeisenProfessor of Statistics - University of NottinghamVerified email at nottingham.ac.uk
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
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Caren HaslerUniversity of NeuchâtelVerified email at unine.ch
Louis-Paul RivestProfessor of Statistics, Université LavalVerified email at mat.ulaval.ca
Xiao-Li MengWhipple V. N. Jones Professor of Statistics, Harvard UniversityVerified email at stat.harvard.edu
Antonio, Fabio Di NarzoAntonio Di Narzo Consulting

Radu Craiu

Professor of Statistical Sciences, 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	2319	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	211*	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	181*	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	170	2006
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	115	2008
Dependence calibration in conditional copulas: A nonparametric approach EF Acar, RV Craiu, F Yao Biometrics 67 (2), 445-453, 2011	107	2011
Acceleration of the multiple-try Metropolis algorithm using antithetic and stratified sampling RV Craiu, C Lemieux Statistics and computing 17 (2), 109-120, 2007	78	2007
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	72	2020
Bayesian computation via markov chain monte carlo RV Craiu, JS Rosenthal Annual Review of Statistics and Its Application 1 (1), 179-201, 2014	68	2014
Multiprocess parallel antithetic coupling for backward and forward Markov chain Monte Carlo RV Craiu, XL Meng The Annals of Statistics 33 (2), 661-697, 2005	67	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	64	2004
Interacting multiple try algorithms with different proposal distributions R Casarin, R Craiu, F Leisen Statistics and Computing 23 (2), 185-200, 2013	62	2013
Statistical testing of covariate effects in conditional copula models EF Acar, RV Craiu, F Yao Electronic Journal of Statistics 7, 2822-2850, 2013	51	2013
Inference for the dependent competing risks model with masked causes of failure RV Craiu, B Reiser Lifetime data analysis 12 (1), 21-33, 2006	51	2006
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	45	2011
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	44	2012
Divide and conquer: a mixture-based approach to regional adaptation for MCMC Y Bai, RV Craiu, AF Di Narzo Journal of Computational and Graphical Statistics 20 (1), 63-79, 2011	39	2011
Choosing the lesser evil: trade-off between false discovery rate and non-discovery rate RV Craiu, L Sun Statistica Sinica, 861-879, 2008	36	2008
Model selection for the competing-risks model with and without masking RV Craiu, TCM Lee Technometrics 47 (4), 457-467, 2005	33	2005
Additive models for conditional copulas A Sabeti, M Wei, RV Craiu Stat 3 (1), 300-312, 2014	26	2014

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