Publications (grouped by topic)

(trainees are marked with ^§)

1. Outreach and Community Building
   
2. Markov Chain Monte Carlo
   
3. Copula Models
   
4. Statistical Genetics and Hypothesis testing methods
   
5. Model Selection
   
6. Survival Analysis
   
7. Ecology
   
8. Nonparametric Methods
   
9. Other Topics
   

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Outreach, Professional Development and Community Building

• Radu's Rides: Flying like a bosstatistician (2022). IMS Bulletin, 51, No. 7, pg 12. pdf
  
  
• Radu's Rides: Theoretically, we could be more practical (2022). IMS Bulletin, 51, No. 5, pg 12-13. pdf
  
  
• Radu's Rides: Those on whose shoulders we stand (2021). IMS Bulletin, 50, No. 7, pg 12. pdf
  
  
• Radu's Rides: Oh OUCH, to be young again! (2021). IMS Bulletin, 50, No. 5, pg 11. pdf
  
  
• Radu's Rides: Notes to my past self (2021). IMS Bulletin, 50, No. 4, pg 9. pdf
  
  
• Radu's Rides: A Valentine's Day Special (2021). IMS Bulletin, 50, No. 2, pg 4. pdf
  
  
• Radu's Rides: Will the Future Mature? (2020). IMS Bulletin, 49, No. 8, pg 4-5. pdf
  
  
• Radu's Rides: The Stink of Mathematical Righteousness (2020). IMS Bulletin, 49, No. 7w, pg 12-13. pdf
  
  
• Radu's Rides: The Road Less Traveled (2020). IMS Bulletin, 49, No. 5, pg 16-17. pdf
  
  
• Radu's Rides: A lesson in humility (2020). IMS Bulletin, 49, No. 4, pg 6. pdf
  
  
• Radu's Rides: A True Embarrassment of Riches (2020). IMS Bulletin, 49, No. 2, pg 6. pdf
  
  
• The Hiring Gambit: In Search of the Twofer Data Scientist (2019). Harvard Data Science Review, 1, No. 1. pdf
  
  
• My `sexy statistics' - take it or LV it (2018). IMS Bulletin, 47, No. 8, pg 13. pdf
  
  
• Growing Pains and Gains in Statistics, the Toronto Way (2018). IMS Bulletin, 47, No. 6, pg 11. pdf
  
  
• A Contribution to "Math in Seventeen Syllables: A Folder of Mathematical Haiku" (2018). Journal of Humanistic Mathematics, 8, pg 450. pdf
  
  
• Review of Perfect Simulation by Mark Huber (2016). Journal of the American Statistical Association, 111, pg 1849-1850. pdf
  
  
• In Search of a Statistical Culture (2013). IMS Bulletin, 42, No. 2, pg 7. pdf
  
  
• Idle Hands for Monte Carlo Residents (2011). ISBA Bulletin, 18, No. 3, pg 16-19. pdf
  
  
• The Renaissance Statistician (2010). IMS Bulletin, 39, No. 3, pg 10. pdf
  
  
• The Statistics Debutante's Dilemma (2009). IMS Bulletin, 38, No. 3, pg 3-5. pdf
  
  

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Markov chain Monte Carlo

• Approximate Methods for Bayesian Computation (2022). Annual Review of Statistics and Its Application, to appear. (with Evgeny Levi^§).
  
  
• Reflections on Bayesian Inference and Markov Chain Monte Carlo (2022). The Canadian Journal of Statistics, to appear. (with Paul Gustafson and Jeffrey Rosenthal) pdf
  
  
• Living on the Edge: Antithetic Sampling on Segments (2021). (with Roberto Casarin, Lorenzo Frattarolo and Christian P. Robert) arXiv
  
  
• 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.
  
  
• 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.
  
  
• 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).
  
  
• 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 Supplementary materials
  
  
• Likelihood Inflated Sampling Algorithm (2018). The Canadian Journal of Statistics, 46, No. 1, 147-175. (with Reihaneh Entezari^§ and Jeffrey Rosenthal) arXiv
  
  
• 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
  
  
• 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, supplemental material
  
  
• 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) pdf
  
  
• Bayesian Computation via Markov chain Monte Carlo (2014). Annual Review of Statistics and Its Application , 1, 179-201. (with Jeffrey S. Rosenthal). (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)
  
  
• Tuning of Markov chain Monte Carlo Algorithms Using Copulas (2011). UPB Scientific Bulletin, Series A, 73, No. 1, 5--12. pdf
  
  
• 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) .
  
  

  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

  
  
  
• 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
  
  
• 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
  
  
• 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
  
  
• 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
  
  
• Chance and Fractals (2001). Chance, 14, 47--52. (with Xiao-Li Meng) 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
  
  

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Copula Models

• Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures (2022). (with Robert Zimmerman^§ and Vianey Leos-Barajas arXiv.
  
  

  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

  
  
  
• Vine Copulas for Imputation of Monotone Non-Response (2018). International Statistical Review, 86, 488-511. (with Caren Hasler^§ and Louis-Paul Rivest) pdf
  
  
• Gaussian Process Single Index Models for Conditional Copulas (2018). Computational Statistics & Data Analysis, 122, 115-134. (with Evgeny Levi^§) pdf
  
  
• Additive Models for Conditional Copulas (2014). STAT - ISI's Journal for the Rapid Dissemination of Statistics Research, 3, 300--312.(with Avideh Sabeti^§ and Mian Wei^§) pdf
  
  
• Statistical Testing of Covariate Effects in Conditional Copula Models (2013). The Electronic Journal of Statistics , 7, 2822--2850. (with Elif F. Acar^§ and Fang Yao). pdf
  
  
• 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)
  
  
• Dependence Calibration in Conditional Copulas: A Nonparametric Approach (2011). Biometrics, 67, No. 2, 445--453. (with Elif F. Acar^§ and Fang Yao). (pdf) Supplementary material is available here.
  
  
• Tuning of Markov chain Monte Carlo Algorithms Using Copulas (2011). UPB Scientific Bulletin, Series A, 73, No. 1, 5--12. pdf
  
  
• On the Choice of Parametric Families of Copulas (2008). Advances and Applications in Statistics , 10, No. 1, 25--40. (with Mariana Craiu) pdf
  
  

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Statistical Genetics and Hypothesis testing methods

• Measuring the severity of multi-collinearity in high dimensions (2022). (with Wei Deng and Lei Sun) arXiv.
  
  
• Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression (2021). (with Myriam Brossard^§, Andrew D. Paterson, Osvaldo Espin-Garcia^§ and Shelley B. Bull) medRxiv
  
  
• The X Factor: A Robust and Powerful Approach to X-chromosome-Inclusive Whole-genome Association Studies (2021). Genetic Epidemiology, 45, 694-709. (with Bo Chen^§, Lisa Strug and Lei Sun) pdf
  
  
• 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
  
• General behaviour of P-values under the Null and Alternative (2020). (with Yanbo Tang and Lei Sun) arXiv.
  
  
• 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
  
  
• Two-Phase Designs for Joint Quantitative-Trait-Dependent and Genotype-Dependent Sampling in Post-GWAS Regional Sequencing (2017+). Genetic Epidemiology, 42, 104-116. (with Osvaldo Espin-Garcia^§ and Shelley B. Bull) pdf
  
  
• 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, supplemental material
  
  
• 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
  
  

  Bayesian Methods in Fisher's Statistical Genetics World (2014). In Statistics in Action: A Canadian Outlook, Edited by J. Lawless. (with Lei Sun) pdf

  
  
  
• Two-phase Stratified Sampling Designs for Regional Sequencing (2012). Genetic Epidemiology, 36, No. 4, 320--332. (with Zhijian Chen^§ and Shelley Bull). (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)
  
  
• 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. Supplementary file is available here .
  
  
• 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
  
  
• 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
  
  

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Model Selection

• 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
  
  
• Minimum Description Length Principle for Linear Mixed Effects Models (2014). Statistica Sinica, 24, 1161-1178. (with Li Li^§, Fang Yao and Jialin Zou). (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 (pdf)
  
  
• On the Choice of Parametric Families of Copulas (2008). Advances and Applications in Statistics , 10, No. 1, 25--40. (with Mariana Craiu)
  
  
• Model Selection for the Competing Risks Model With and Without Masking (2005). Technometrics, 47, No. 4, 457--467. (with Thomas C.M. Lee) pdf
  
  

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Survival Analysis

• 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 (See also Original paper and Rejoinder
  
  
• 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
  
  

  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
  
  

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Ecology

• 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
  
  
• 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.
  
  
• 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 (pdf)
  
  

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Nonparametric methods

• Nonparametric imputation method for nonresponse in surveys (2020). Statistical Methods and Applications, 20, No.5, 25--48. (with Caren Hasler^§ pdf
  
  
• Statistical Testing of Covariate Effects in Conditional Copula Models (2013). The Electronic Journal of Statistics , 7, 2822--2850. (with Elif F. Acar^§ and Fang Yao). pdf
  
  
• 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 Supplementary material for the paper is here.
  
  
• Efficient bootstrap resampling (2001). UPB Scientific Bulletin, Series A, 3, 3--10. pdf
  
  

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Other Topics

• A conversation with Nancy Reid (2022). The Canadian Journal of Statistics, to appear. (with Grace Yi) pdf
  
  
• Six Statistical Senses (2022). Annual Review of Statistics and Its Application, to appear. (with Ruobin Gong and Xiao-Li Meng).
  
  
• Measuring the severity of multi-collinearity in high dimensions (2022). (with Wei Deng and Lei Sun) arXiv.
  
  
• Exploring dimension learning via a penalized probabilistic principal component analysis. (2022). Journal of Statistical Computation and Simulation, to appear. (with Wei Q. Deng^§) pdf and Appendix. The R-package SPAC2 has been built to implement the paper's methods and is available here.
  
  
• 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
  
  
• 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.
  
  

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