Professor V Radu Craiu

Department of Statistical Sciences

700 University Ave

University of Toronto

Toronto, ON M5G 1Z5 Canada

E-mail: radu.craiu AT utoronto DOT ca

Publications

Radu Craiu’s Publications

(trainees are marked with #)

Outreach and Community Building

  1. Radu’s Rides: Attention, Rewards and something in between (2026). IMS Bulletin, 55, No.1, pg 7. pdf
  2. Radu’s Rides: La Vie En … Beige (2025). IMS Bulletin, 54, No. 5, pg 11. pdf
  3. Radu’s Rides: The Mighty Nod (2025). IMS Bulletin, 54, No. 3, pg 7. pdf
  4. Review of On Tuscany: From Brunello to Bolgheri, Wine Tales from the Heart of Italy by Susan Keevil, Ed (2025). Journal of Wine Economics, to appear. pdf
  5. Radu’s Rides: On Timing (2025). IMS Bulletin, 54, No. 1, pg 5. pdf
  6. Radu’s Rides: The Haves and the Have Nots (2024). IMS Bulletin, 53, No. 8, pg 5. pdf
  7. Radu’s Rides: Pseudo-random Summer Thoughts (2024). IMS Bulletin, 53, No. 6, pg 16. pdf
  8. Radu’s Rides: Ideas to the Rescue (2024). IMS Bulletin, 53, No. 4, pg 14. pdf
  9. Radu’s Rides: Is More Less? (2024). IMS Bulletin, 53, No. 1, pg 4. pdf
  10. Radu’s Rides: Summer Pitfalls (2023). IMS Bulletin, 52, No. 7, pg 7. pdf
  11. Radu’s Rides: The Stand-up Statistician (2023). IMS Bulletin, 52, No. 5, pg 5. pdf
  12. Review of The Bordeaux Club by Neil McKendrick (2023). Journal of Wine Economics, 19, No. 1, 97-98. pdf
  13. Introducing… Clara-fications (2023). IMS Bulletin, 52, No. 4, pg 23. pdf
  14. Radu’s Rides: In Praise of Praise (2023). IMS Bulletin, 52, No. 2, pg 7. pdf
  15. Radu’s Rides: Flying like a bosstatistician (2022). IMS Bulletin, 51, No. 7, pg 12. pdf
  16. Radu’s Rides: Theoretically, we could be more practical (2022). IMS Bulletin, 51, No. 5, pg 12-13. pdf
  17. Radu’s Rides: Those on whose shoulders we stand (2021). IMS Bulletin, 50, No. 7, pg 12. pdf
  18. Radu’s Rides: Oh OUCH, to be young again! (2021). IMS Bulletin, 50, No. 5, pg 11. pdf
  19. Radu’s Rides: Notes to my past self (2021). IMS Bulletin, 50, No. 4, pg 9. pdf
  20. Radu’s Rides: A Valentine’s Day Special (2021). IMS Bulletin, 50, No. 2, pg 4. pdf
  21. Radu’s Rides: Will the Future Mature? (2020). IMS Bulletin, 49, No. 8, pg 4-5. pdf
  22. Radu’s Rides: The Stink of Mathematical Righteousness (2020). IMS Bulletin, 49, No. 7, pg 12-13. pdf
  23. Radu’s Rides: The Road Less Traveled (2020). IMS Bulletin, 49, No. 5, pg 16-17. pdf
  24. Radu’s Rides: A lesson in humility (2020). IMS Bulletin, 49, No. 4, pg 6. pdf
  25. Radu’s Rides: A True Embarrassment of Riches (2020). IMS Bulletin, 49, No. 2, pg 6. pdf
  26. The Hiring Gambit: In Search of the Twofer Data Scientist (2019). Harvard Data Science Review, 1, No. 1. pdf
  27. My `sexy statistics’ – take it or LV it (2018). IMS Bulletin, 47, No. 8, pg 13 pdf
  28. Growing Pains and Gains in Statistics, the Toronto Way (2018). IMS Bulletin, 47, No. 6, pg 11. pdf
  29. A Contribution to “Math in Seventeen Syllables: A Folder of Mathematical Haiku” (2018). Journal of Humanistic Mathematics, 8, pg 450. pdf
  30. Review of Perfect Simulation by MarkHuber (2016). Journal of the American Statistical Association, 111, pg 1849-1850. pdf
  31. In Search of a Statistical Culture (2013). IMS Bulletin, 42, No. 2, pg 7. pdf
  32. Idle Hands for Monte Carlo Residents (2011). ISBA Bulletin, 18, No. 3, pg 16-19. pdf
  33. The Renaissance Statistician (2010). IMS Bulletin, 39, No. 3, pg 10. pdf
  34. The Statistics Debutante’s Dilemma (2009). IMS Bulletin, 38, No. 3, pg 3-5. pdf

Research Papers

  2. Likelihood-based inference for the Gompertz model with Poisson errors (2025). (with Paolo Onorati# and Sofia Ruiz-Suarez#) arXiv.
  3. Compressed Bayesian Tensor Regression (2025). (with Roberto Casarin and Qing Wang#) arXiv.
  4. Bivariate temporal dependence via mixtures of rotated copulas (2025). (with Ruyi Pan# and Luis Nieto-Barajas) arXiv.
  5. K-Contact Distance for Noisy Nonhomogeneous Spatial Point Data with application to Repeating Fast Radio Burst sources (2025). Annals of Applied Statistics, to appear (with Amanda Cook et al.) arXiv.
  6. Discussion of Model Uncertainty and Missing Data: An Objective Bayesian Perspective by Gonzalo García-Donato, María Eugenia Castellanos, Stefano Cabras, Alicia Quirós, and Anabel Forte (2025). Bayesian Analysis 20, No. 4, 1732-1735. (with Yichen Ji# and Monica J. Alexander) paper, discussion and rejoinder.
  7. Bayesian nonparametric mixtures of Archimedean copulas (2025). Journal of Agricultural, Biological, and Environmental Statistics, to appear (with Ruyi Pan# and Luis Nieto-Barajas) pdf and code.
  8. Markov switching tensor regressions (2025). In New Trends in Functional Statistics and Related Fields. Edited by German Aneiros, Enea Bongiorno, Aldo Goia and Marie Huskova. (with Roberto Casarin and Qing Wang#). pdf
    		9.
  9. Marked Cox Models for IBNR Claims Count: Continuous and Discretized Approaches with Dirichlet-Driven Reporting Delays (2025). ASTIN Bulletin, to appear. (with Hassan Abdelrahman#, Andrei Badescu and Sheldon Lin) arXiv.
  10. Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts (2025). The Astrophysical Journal, 982, 46. (with Antonio Herrera-Martin# et al.) pdf.
  11. Markov Switching Multiple-equation Tensor Regressions (2025). Journal of Multivariate Analysis , to appear. (with Roberto Casarin and Qing Wang#) pdf and code.
  12. Perfecting MCMC Sampling: Recipes and Reservations (2025). Handbook of MCMC, 2nd Ed., to appear (with Xiao-Li Meng) arXiv.
  13. Detecting stellar flares in photometric data using hidden Markov models (2025). The Astrophysical Journal, 979, No 2, 1 – 14. (with Arturo Esquivel# et al.) pdf.
  14. Constraining the selection corrected luminosity function and total pulse count for radio transients (2024). The Astrophysical Journal, 971, 97. (with Fengqiu Adam Dong, Antonio Herrera-Martin#, Ingrid Stairs, Kathryn Crowter, Gwendolyn M. Eadie, Emmanuel Fonseca, Deborah Good, James W. Mckee, Bradley W. Meyers and David C. Stenning) pdf.
  15. Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures (2024). Journal of the American Statistical Association, 119, No 548, 2598 – 2609. (with Robert Zimmerman# and Vianey Leos-Barajas) pdf.
  16. Living on the Edge: Antithetic Sampling on Segments (2024). Statistical Science, 39, No. 1, 115 – 136. (with Roberto Casarin, Lorenzo Frattarolo# and Christian P. Robert) pdf and code .
  17. Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression (2023). Genetics, 225, No. 1, iyad119. (with Myriam Brossard#, Andrew D. Paterson, Osvaldo Espin-Garcia# and Shelley B. Bull) pdf
  18. A conversation with Nancy Reid (2023). The Canadian Journal of Statistics, 51, 752 – 759. (with Grace Yi) pdf
  19. Six Statistical Senses (2023). Annual Review of Statistics and Its Application, 10, 699 – 725. (with Ruobin Gong and Xiao-Li Meng). pdf
  20. Approximate Methods for Bayesian Computation (2023). Annual Review of Statistics and Its Application, 10, 379 – 400. (with Evgeny Levi#). pdf
  21. Exploring dimension learning via a penalized probabilistic principal component analysis. (2023). Journal of Statistical Computation and Simulation, 93, No. 2, 266 – 297. (with Wei Q. Deng#) pdf and Appendix. Wei’s R-package SPAC2 has been built to implement the paper’s methods and is available here.
  22. Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates (2022). Statistica Sinica, 32, No. 4, 1745 – 1766. (with Xiao-Li Meng) pdf
  23. Reflections on Bayesian Inference and Markov Chain Monte Carlo (2022). The Canadian Journal of Statistics, 50, No. 4, 1213 – 1227 (identified as a most downloaded paper of the journal). (with Paul Gustafson and Jeffrey Rosenthal) pdf
  24. Finding Our Way in the Dark: Approximate MCMC for Approximate Bayesian Methods (2022). Bayesian Analysis, 17, No. 1, 193 – 221 (with Evgeny Levi#) pdf and Appendix
  25. Two-phase sample selection strategies for design and analysis in post-genome wide association fine-mapping studies (2021). Statistics in Medicine, 40, 6792 – 6817. (with Osvaldo Espin-Garcia# and Shelley B. Bull) pdf
  26. The X Factor: A Robust and Powerful Approach to X-chromosome-Inclusive Whole-genome Association Studies (2021). Genetic Epidemiology, 45, 694-709. (identified as a top cited and top downloaded paper of the journal) (with Bo Chen#, Lisa Strug and Lei Sun) pdf
  27. Discussion of Unbiased Markov chain Monte Carlo methods with coupling by Yves Atchade, Pierre Jacob and John O’Leary (2020). JRSS-B, 82, No. 3, 578 – 581. (with Xiao-Li Meng) (pdf of Paper, discussion and rejoinder).<br
  28. Assessing Data Support for the Simplifying Assumption in Bivariate
    Conditional Copulas     (2020). In Nonparametrics Statistics. Edited by Michele La Rocca, Brunero Liseo and Luigi Salmaso. (with Evgeny
    Levi    #). pdf
    		29.
  29. Nonparametric imputation method for nonresponse in surveys (2020). Statistical Methods and Applications, 20, No. 5, 25 – 48. (with Caren Hasler#) pdf
  30. Bayesian model averaging for the X-chromosome inactivation dilemma in genetic association study (2020). Biostatistics, 21, No. 2, 319 – 335. (with Bo Chen# and Lei Sun) pdf
  31. Adaptive Component-wise Multiple-try Metropolis Sampling (2019). Journal of Computational and Graphical Statistics, 28, No. 2, 276 – 289. (with Jinyoung Yang#, Evgeny Levi# and Jeffrey Rosenthal) pdf and Appendix
  32. Vine Copulas for Imputation of Monotone Non-Response (2018). International Statistical Review, 86, 488 – 511. (with Caren Hasler# and Louis-Paul Rivest) pdf
  33. Two-Phase Designs for Joint Quantitative-Trait-Dependent and Genotype-Dependent
    Sampling in Post-GWAS Regional Sequencing     (2018). Genetic Epidemiology, 42, 104 – 116. (with Osvaldo Espin-Garcia# and Shelley B. Bull) pdf
  34. Gaussian Process Single Index Models for Conditional Copulas (2018).
    Computational Statistics & Data Analysis, 122, 115 – 134. (with Evgeny Levi#) pdf
  35. 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
  36. Likelihood Inflated Sampling Algorithm (2018). The Canadian Journal of
    Statistics    , 46, No. 1, 147 – 175. (with Reihaneh Entezari# and Jeffrey Rosenthal) pdf.
    This paper received the CJS Award from the Statistical Society of Canada in 2019.
  37. Discussion of: Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models by Matthew Pratola (2016). Bayesian Analysis, 11, No. 3, 935 – 937.(with Reihaneh Entezari and Jeff Rosenthal) pdf
  38. Embarassingly Parallel Sequential Markov chain Monte Carlo for Large Sets of Time Series (2016). Statistics and Its Interface, 9, No. 4, 497 – 508. (with Roberto Casarin and Fabrizio Leisen) pdf
  39. Parameter expanded algorithms for Bayesian latent variable modelling of Genetic
    Pleiotropy Data     (2016). Journal of Computational and Graphical Statistics, 25, 405 – 425. (with Lizhen Xu#, Lei Sun and Andrew Paterson) pdf and Appendix .
  40. 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) pdf
  41. Additive Models for Conditional Copulas (2014). STAT – The ISI’s Journal for the Rapid Dissemination of Statistics Research, 3, 300 – 312. (with Avideh Sabeti# and Mian Wei#) pdf
  42. A Note on the Efficiencies of Sampling Strategies in Two-Stage Bayesian Regional Fine Mapping of a Quantitative Trait (2014). Genetic Epidemiology, 38, 599 – 609. (with Zhijian Chen# and Shelley Bull). pdf
  43. Bayesian Methods in Fisher’s Statistical Genetics World (2014). In
    Statistics in Action: A Canadian Outlook, Edited by J. Lawless. (with Lei Sun) pdf
  44. Minimum Description Length Principle for Linear Mixed Effects Models (2014). Statistica Sinica, 24, 1161 – 1178. (with Li Li#, Fang Yao and Jialin Zou). pdf
  45. Bayesian Computation via Markov chain Monte Carlo (2014). Annual Review of Statistics and Its Application , 1, 179 – 201. (with Jeffrey S. Rosenthal). pdf
  46. 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
  47. Statistical Testing of Covariate Effects in Conditional Copula Models (2013). The Electronic Journal of Statistics, 7, 2822 – 2850. (with Elif Acar# and Fang Yao). pdf
  48. Interacting Multiple Try Algorithms with Different Proposal Distributions (2013). Statistics and Computing, 23, No. 2, 185 – 200. (with Roberto Casarin and Fabrizio Leisen). pdf
  49. In Mixed Company: Bayesian Inference for Bivariate Conditional Copula Models with Discrete and Continuous Outcomes (2012). Journal of Multivariate Analysis , No. 110, 106 – 120 (in a special issue of JMVA dedicated to copula models). (with Avideh Sabeti#). pdf
  50. Two-phase Stratified Sampling Designs for Regional Sequencing (2012). Genetic Epidemiology, 36, No. 4, 320 – 332. (with Zhijian Chen# and Shelley Bull). pdf
  51. 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.
  52. Dependence Calibration in Conditional Copulas: A Nonparametric Approach (2011). Biometrics, 67, No. 2, 445 – 453. (with Elif F. Acar# and Fang Yao). pdf and Appendix.
  53. Tuning of Markov chain Monte Carlo Algorithms Using Copulas (2011).
    UPB Scientific Bulletin, Series A, 73, No. 1, 5 – 12. pdf
  54. Bayesian Methods to Overcome the Winner’s Curse in Genetic Studies (2011). Annals of Applied Statistics, 5, No.1, 201 – 231. (with Lizhen Xu# and Lei Sun). pdf and Appendix .
  55. Divide and Conquer: A Mixture-Based Approach to Regional Adaptation for MCMC (2011). Journal of Computational and Graphical Statistics, 20, No. 1, 63 – 79. (with Yan Bai# and Antonio F. Di Narzo#). pdf .
  56. Invited Discussion of: Predictive Comparison of Joint Longitudinal-Survival Modeling:A Case Study Illustrating Competing Approaches, by Timothy Hanson, Adam Branscum and Wesley Johnson (2011). Lifetime Data Analysis , 17, No. 1, 33 – 36. pdf, paper, and rejoinder
  57. Perfection Within Reach: Exact MCMC Sampling (2011). In
    Handbook of Markov Chain Monte Carlo. Edited by Steve Brooks, Andrew Gelman, Galin Jones and Xiao-Li Meng. (with Xiao-Li Meng). pdf
    		58.

     

  58. Nonparametric Covariate Adjustment for Receiver Operating Characteristic Curves (2010). The Canadian Journal of Statistics, 38, No. 1, 27-46. (with Fang Yao and Benjamin Reiser) pdf and Appendix
  59. Learn From Thy Neighbor: Parallel-Chain and Regional Adaptive MCMC (2009). Journal of the American Statistical Association, 104, No. 488, 1454-1466. (with Jeffrey Rosenthal and Chao Yang#) pdf
  60. On the Choice of Parametric Families of Copulas (2008). Advances and Applications in Statistics , 10, No. 1, 25 – 40. (with Mariana Craiu) pdf
  61. 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
  62. 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 and correction
  63. 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
  64. Stratified False Discovery Control for Large-scale Hypothesis Testing with
    Application to Genome-Wide Association Studies     (2006). Genetic Epidemiology, 30, No. 6, 519 – 530. (with Lei Sun, Andrew Paterson and Shelley Bull) pdf
  65. 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
  66. Inference for the dependent competing risks model with masked causes of failure (2006). Lifetime Data Analysis, 12, No. 1, 21 – 33. (with Benjamin Reiser) (pdf)
  67. Pattern generation using likelihood inference for cellular automata (2006). IEEE Transactions on Image Processing, 15, No. 7, 1718 – 1727. (with Thomas C.M. Lee) pdf
  68. Model Selection for the Competing Risks Model With and Without Masking (2005). Technometrics, 47, No. 4, 457 – 467. (with Thomas C.M. Lee) pdf
  69. Multi-process parallel antithetic coupling for forward and backward Markov chain Monte Carlo (2005). Annals of Statistics , 33, No. 2, 661 – 697. (with Xiao-Li Meng) pdf
  70. 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
    		71.

     

  71. 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
  72. Efficient bootstrap resampling (2001). UPB Scientific Bulletin, Series A, 3, 3 – 10. pdf
  73. Chance and Fractals (2001). Chance, 14, 47 – 52. (with Xiao-Li Meng) pdf
  74. 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
  75. Bayesian reliability estimates in the exponential case. (1999) Romanian Journal of Pure and Applied Mathematics , XLIV, 353-359.
  76. Bayesian inference in doubly truncated Laplace distribution. (1996) Romanian Journal of Pure and Applied Mathematics, XLI, 473-481.