Publications by Department Members

2020

  • Chang B, Joe H.   Copula diagnostics for asymmetries and conditional dependence   Journal of Applied Statistics. 2020   47:   1587-1615.   DOI: 10.1080/02664763.2019.1685080, Early Access Date = NOV 2019      
  • Chen J, Li P, Liu G.   Homogeneity testing under finite location-scale mixtures   Canadian Journal of Statistics. 2020   48:   670–684.        
  • Cooke RM, Joe H, Chang B.   Vine copula regression for observational studies   ASTA-Advances in Statistical Analysis. 2020   104:   141-167.   DOI: 10.1007/s10182-019-00353-5      
  • Deligiannidis G, Paulin D, Bouchard-Côté A, Doucet A.   Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates   Annals of Applied Probability. 2020   (Accepted):          
  • Homrighausen D, McDonald DJ.   Compressed and penalized linear regression   Journal of Computational and Graphical Statistics [Internet]. 2020   29:   309–322.     URL: https://doi.org/10.1080/10618600.2019.1660179    
  • Karim M, Tremlett H, Zhu F, Petkau J, Kingwell E.   Dealing with treatment-confounder feedback and sparse follow-up in longitudinal studies - application of a marginal structural model in a multiple sclerosis cohort.   American Journal of Epidemiology. 2020   189:   To appear.        
  • Krupskii P, Joe H.   Flexible copula models with dynamic dependence and application to financial data   Econometrics and Statistics. 2020   16:   148-167.   DOI: 10.1016/j.ecosta.2020.01.005      
  • Lee TYoon, Zidek JV, Heckman N.   Dimensional Analysis in Statistical Modelling   Statistical Science. 2020     Submitted.        
  • Lee TYoon, Zidek JV.   Scientific versus statistical modelling: a unifying approach   arXiv preprint arXiv:2002.11259. 2020            
  • McDonald DJ.   Book Review: Sufficient Dimension Reduction: Methods and Applications with R   Journal of the American Statistical Association [Internet]. 2020   115:       URL: https://doi.org/10.1080/01621459.2020.1759990    
  • Pan S, Fan S, Wong SWK, Zidek JV, Rhodin H.   Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images   arXiv preprint arXiv:2011.04844. 2020            
  • Sadatsafavi M, McCormack J, Lee T, Petkau J, Lynd L, Sin D.   Should the number of acute exacerbations in the previous year be used to guide treatments in COPD?   European Journal of Epidemiology. 2020   35:   To appear.        
  • Thomas M, Shaddick G, Simpson D, de Hoogh K, Zidek J.   Spatio-temporal downscaling for continental scale estimation of air pollution concentrations   Journal of the Royal Statistical Society: Series C. 2020     Submitted.        
  • Wang Y, Le ND, Zidek JV.   Approximately Optimal Spatial Design: How Good is it?   Spatial Statistics. 2020     To appear.        
  • Watson J.   CV   . 2020            
  • Yang Z, Chen J.   Small area mean estimation after effect clustering   Journal of Applied Statistics. 2020   47:   602–623.        
  • Yu X, Li S, Chen J.   A three-parameter logistic regression model   Statistical Theory and Related Fields. 2020     1–10.        
  • Zhu P, Bouchard-Côté A, Campbell T.   Slice Sampling for General Completely Random Measures   Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI). 2020   36:   699–708.        

2019

  • al. KRCampbell.   clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancers   Genome Biology. 2019   (Accepted):          
  • Campbell K, al. E.   clonealign: statistical integration of independent single-cell RNA and DNA-seq from human cancers   Genome Biology. 2019   20:   1–12.        
  • Chang B, Chen M, Haber E, Chi EH.   AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks   International Conference on Learning Representations [Internet]. 2019         URL: https://openreview.net/forum?id=ryxepo0cFX    
  • Chang B, Joe H.   Prediction based on conditional distributions of vine copulas   Computational Statistics & Data Analysis. 2019   139:   45–63.        
  • Chang B, Joe H.   Prediction based on conditional distributions of vine copulas   Computational Statistics & Data Analysis. 2019   139:   45-63.   DOI: 10.1016/j.csda.2019.04.015      
  • Chang B, Pan S, Joe H, Chaudhuri K, Sugiyama M.   Vine copula structure learning via Monte Carlo tree search   22ND International Conference on Artificial Intelligence and Statistics, Vol 89. 2019   89:   353-361.        
  • Chang B, Pan S, Joe H.   Vine Copula Structure Learning via Monte Carlo Tree Search   International Conference on Artificial Intelligence and Statistics. 2019            
  • Chen J, Feng Z.   A discussion of ‘prior-based Bayesian information criterion’   Statistical Theory and Related Fields. 2019     1–3.        
  • Chen J, Liu Y.   Small area quantile estimation   International Statistical Review. 2019   87:   S219–S238.        
  • Chen J, Wu C, Cai S, Torabi M.   Contemporary Theory and Practice of Survey Sampling: A Celebration of Research Contributions of JNK Rao   . 2019            
  • Chen Z, Chen J, Zhang Q.   Small area quantile estimation via spline regression and empirical likelihood   Survey Methodology 45-1. 2019   45:   81–99.        
  • Cohen-Freue GV, Kepplinger D, Salibian-Barrera M, Smucler E.   Robust elastic net estimators for variable selection and identification of proteomic biomarkers   Annals of Applied Statistics [Internet]. 2019   13:   2065-2090.   DOI: 10.1214/19-AOAS1269   URL: http://dx.doi.org/10.1214/19-AOAS1269     Software: https://cran.r-project.org/package=pense
  • Cornish R, Vanetti P, Bouchard-Côté A, Deligiannidis G, Doucet A.   Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets   International Conference on Machine Learning (ICML). 2019   97:   1351–1360.        
  • Deligiannidis G, Bouchard-Côté A, Doucet A.   Exponential Ergodicity of the Bouncy Particle Sampler   Annals of Statistics. 2019   47:   1268–1287.        
  • Dinsdale D, Salibian-Barrera M.   Methods for preferential sampling in geostatistics   Journal of the Royal Statistical Society Series C [Internet]. 2019   68:   198.   DOI: 10.1111/rssc.12286   URL: https://dx.doi.org/10.1111/rssc.12286     Software: https://github.com/msalibian/PreferentialSampling
  • Dinsdale DR, Salibian-Barrera M.   Modelling ocean temperatures from bio-probes under preferential sampling   Annals of Applied Statistics [Internet]. 2019   13:   713-745.   DOI: 10.1214/18-AOAS1217   URL: https://arxiv.org/abs/1901.02630     Software: https://github.com/msalibian/PreferentialMovement
  • Fernandez-Fontelo A, Cabana A, Joe H, Puig P, Morina D.   Untangling serially dependent underreported count data for gender-based violence   Statistics in Medicine. 2019   38:   4404-4422.   DOI: 10.1002/sim.8306, Early Access Date = JUL 2019      
  • Fu E, Heckman N.   Model-based curve registration via stochastic approximation EM algorithm   Computational Statistics and Data Analysis [Internet]. 2019   131:       URL: https://arxiv.org/abs/1712.07265    
  • Hadley D, Joe H, Nolde N.   On the selection of loss severity distributions to model operational risk   Journal of Operational Risk. 2019   14:   73-94.   DOI: 10.21314/JOP.2019.229      
  • Högg T, Zhao Y, Gustafson P, Petkau J, Fisk J, Marrie R, et al.   Adjusting for differential misclassification in matched case-control studies utilizing health administrative data.   Statistics in Medicine. 2019   38:   3669-3681.        
  • Joe H, Li H.   Tail densities of skew-elliptical distributions   Journal of Multivariate Analysis. 2019   171:   421-435.   DOI: 10.1016/j.jmva.2019.01.009      
  • Joe H.   Likelihood Inference for Generalized Integer Autoregressive Time Series Models   EconometricS. 2019   7:   43.   DOI: 10.3390/econometrics7040043      
  • Jun S, Wong SWK, Zidek JV, Bouchard-Côté A.   Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry   Annals of Applied Statistics. 2019   13:   1678–1707.        
  • Jun S, Wong SWK, Zidek JV, Bourchard-Cote A.   Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry   Annals of Applied Statistics. 2019   13:   1678-1707 .        
  • Karim M, Petkau J, Gustafson P, Platt R.   Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies   Statistical Methods in Medical Research. 2019   28:   323-324 .        
  • Khodadadi A, McDonald DJ, Hentenryck PV, Zhou Z.   Algorithms for Estimating Trends in Global Temperature Volatility   Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19) [Internet]. 2019         URL: https://doi.org/10.1609/aaai.v33i01.3301614    
  • Kingwell E, Leray E, Zhu F, Petkau J, Edan G, Oger J, et al.   Multiple sclerosis: Effect of beta-interferon treatment on survival.   Brain. 2019   142:   1324-1333.        
  • Krupskii P, Joe H.   Nonparametric estimation of multivariate tail probabilities and tail dependence coefficients   Journal of Multivariate Analysis. 2019   172:   147-161.   DOI: 10.1016/j.jmva.2019.02.013      
  • Loucks CM, Park K, Walker DS, McEwan AH, Timbers TA, Ardiel EL, et al.   EFHC1, implicated in juvenile myoclonic epilepsy, functions at the cilium and synapse to modulate dopamine signaling   Elife. 2019   8:   e37271.        
  • Luo H, Freue GVCohen, Zhao X, Bouchard-Côté A, Burstyn I, Gustafson P.   A new perspective on the benefits of the gene-environment independence in case-control studies   The Canadian Journal of Statistics. 2019   47:   473–486.        
  • Park Y, Sarkar A, Nguyen K, Kellis M.   Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data   . 2019            
  • Wang L, Wang S, Bouchard-Côté A.   An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics   Systematic Biology. 2019   (Accepted):