Radu Craiu 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	5581	3186
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Xiao-Li MengHarvard University在 stat.harvard.edu 的电子邮件经过验证
Jeffrey S. RosenthalProfessor of Statistics, University of Toronto在 math.toronto.edu 的电子邮件经过验证
Lei SunUniversity of Toronto在 utstat.toronto.edu 的电子邮件经过验证
Thierry DuchesneProfessor of Statistics, Université Laval在 mat.ulaval.ca 的电子邮件经过验证
Fang YaoPeking University在 math.pku.edu.cn 的电子邮件经过验证
Andrew D PatersonSenior Scientist, Hospital for Sick Children在 sickkids.ca 的电子邮件经过验证
Daniel FortinUniversité Laval在 bio.ulaval.ca 的电子邮件经过验证
Roberto CASARINCa' Foscari University of Venice在 unive.it 的电子邮件经过验证
Fabrizio LeisenKing's College London在 kcl.ac.uk 的电子邮件经过验证
Sophie BaillargeonPh.D. student in statistics, Université Laval在 mat.ulaval.ca 的电子邮件经过验证
Osvaldo Espin-GarciaEpidemiology and Biostatistics, University of Western Ontario在 uwo.ca 的电子邮件经过验证
Christiane LemieuxStatistics and Actuarial Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Benjamin ReiserDepartment of Statistics, University of Haifa在 stat.haifa.ac.il 的电子邮件经过验证
Bo ChenPostdoctoral Fellow, Princess Margaret Cancer Centre在 utoronto.ca 的电子邮件经过验证
lisa strugProfessor, University of Toronto and Senior Scientist, SickKids Research Institute在 utoronto.ca 的电子邮件经过验证
Mian WeiUniversity of Toronto在 dgp.toronto.edu 的电子邮件经过验证
Wei Q. DengMcMaster University在 mcmaster.ca 的电子邮件经过验证
Caren HaslerUniversity of Neuchâtel在 unine.ch 的电子邮件经过验证
Krzysztof LatuszynskiUniversity of Warwick, Department of Statistics在 warwick.ac.uk 的电子邮件经过验证
Gareth RobertsProfessor of Statistics, University of Warwick在 warwick.ac.uk 的电子邮件经过验证

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Radu Craiu

Professor of Statistics, University of Toronto

在 utstat.toronto.edu 的电子邮件经过验证 - 首页

Markov chain Monte Carlo Copula Modeling Bayesian Statistics Copulas Model Selection


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Handbook of markov chain monte carlo S Brooks, A Gelman, G Jones, XL Meng CRC press, 2011	3396	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	237*	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	231*	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	179	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	142	2020
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	126	2008
Dependence calibration in conditional copulas: A nonparametric approach EF Acar, RV Craiu, F Yao Biometrics 67 (2), 445-453, 2011	125	2011
Bayesian computation via markov chain monte carlo RV Craiu, JS Rosenthal Annual Review of Statistics and Its Application 1 (1), 179-201, 2014	93	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	66	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	59	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	53	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	52	2006
Choosing the lesser evil: trade-off between false discovery rate and non-discovery rate RV Craiu, L Sun Statistica Sinica, 861-879, 2008	39	2008
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
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	36	2021
Additive models for conditional copulas A Sabeti, M Wei, RV Craiu Stat 3 (1), 300-312, 2014	34	2014

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