Publications by Department Members

2014

  • Zhang J, Heckman N, Cubranic D, Kingsolver JG, Gaydos T, Marron JS.   Prinsimp   The R Journal [Internet]. 2014   6:   27–42.     URL: http://journal.r-project.org/archive/2014-2/zhang-etal.pdf    
  • Zhao Y, Li D, Petkau A, Riddehough A, Traboulsee A.   Detection of unusual increases in MRI lesion counts in individual multiple sclerosis patients   Journal of the American Statistical Association [Internet]. 2014   109:   119–132.   DOI: 10.1080/01621459.2013.847373   URL: http://amstat.tandfonline.com/doi/abs/10.1080/01621459.2013.847373    
  • Zidek JV, Shaddick G, Taylor CG, others .   Reducing estimation bias in adaptively changing monitoring networks with preferential site selection   The Annals of Applied Statistics. 2014   8:   1640–1670.        
  • Zidek JV, Shaddick G, Taylor CG.   Reducing estimation bias in adaptively changing monitoring networks with preferential site selection   The Annals of Applied Statistics. 2014   8:   1640–1670.        

2013

  • Amankwah EK, Friedenreich CM, Magliocco AM, Brant R, Courneya KS, Speidel T, et al.   Anthropometric measures and the risk of endometrial cancer, overall and by tumor microsatellite status and histological subtype   Am. J. Epidemiol.. 2013   177:   1378–1387.        
  • Amankwah EK, Friedenreich CM, Magliocco AM, Brant R, Speidel T, Rahman W, et al.   Hormonal and reproductive risk factors for sporadic microsatellite stable and unstable endometrial tumors   Cancer Epidemiol. Biomarkers Prev.. 2013   22:   1325–1331.        
  • Ascherio A, Munger K, White R, Kochert K, Simon C, Polman C, et al.   Vitamin D as a predictor of multiple sclerosis activity and progression.   . 2013            
  • Ascherio A, Munger K, White R, others .   Supplementary Online Content   . 2013            
  • Balkema G, Embrechts P, Nolde N.   The shape of asymptotic dependence   Prokhorov and Contemporary Probability Theory. 2013     43–67.        
  • Bouchard-Côté A, Hall D, Griffiths TL, Klein D.   Automated reconstruction of ancient languages using probabilistic models of sound change   Proceedings of the National Academy of Sciences. 2013   110:   4224–4229.        
  • Bouchard-Côté A, Jordan MI.   Evolutionary inference via the Poisson indel process   Proceedings of the National Academy of Sciences. 2013   110:   1160–1166.        
  • Bouchard-Côté A.   A Note on Probabilistic Models over Strings: Inference and Representation with Indexed Matrices   arXiv. 2013   1301.5054:          
  • Bouchard-Côté A.   A note on probabilistic models over strings: the linear algebra approach   Bulletin of Mathematical Biology. 2013   75:   2529–2550.        
  • Bouchard-Côté A.   A Note on Probabilistic Models over Strings: Inference and  Representation with Indexed Matrices   arXiv. 2013   1301.5054:          
  • Burstyn I, de Vocht F, Gustafson P.   What do measures of agreement ($appa$) tell us about quality of exposure assessment? Theoretical analysis and numerical simulation   BMJ open. 2013   3:   e003952.   DOI: 10.1136/bmjopen-2013-003952      
  • Cai S, Chen J, Zidek JV.   Hypothesis testing in the presence of multiple samples under density ratio models   arXiv preprint arXiv:1309.4740. 2013            
  • Cai S, Chen J, Zidek JV.   Hypothesis testing in the presence of multiple samples under density ratio models   Statistica Sinica. 2013     To appear.        
  • Campbell T, Johnson L, How JP.   Multiagent allocation of Markov decision process tasks   American Control Conference. 2013            
  • Campbell T, Liu M, Kulis B, How JP, Carin L.   Dynamic clustering via asymptotics of the dependent Dirichlet process mixture   Advances in Neural Information Processing Systems. 2013            
  • Chau V, Synnes A, Grunau RE, Poskitt KJ, Brant R, Miller SP.   Abnormal brain maturation in preterm neonates associated with adverse developmental outcomes   Neurology. 2013   81:   2082–2089.        
  • Chen H, Loeppky J, Sacks J, Welch W.   Analysis Methods for Computer Experiments: How to Assess and What Counts?   [Internet]. 2013         URL: http://www.stat.ubc.ca/ will/docs/whatcounts.pdf    
  • Chen J, Huang Y.   Finite-sample properties of the adjusted empirical likelihood   Journal of Nonparametric Statistics. 2013   25:   147–159.        
  • Chen J, Li P.   MixtureInf-package   Inference for Finite Mixture Models. 2013     2.        
  • Chen J, Liu Y.   Quantile and quantile-function estimations under density ratio model   The Annals of Statistics. 2013   41:   1669–1692.        
  • Chen J.   A partial order on uncertainty and information   Journal of Theoretical Probability. 2013   26:   349–359.        
  • Christmann A, Salibian-Barrera M, Van Aelst S, Becker C, Fried R, Kuhnt S.   Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods   Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather [Internet]. 2013     263–278.   DOI: 10.1007/978-3-642-35494-6_16   URL: http://dx.doi.org/10.1007/978-3-642-35494-6_16    
  • Croux C, Ronchetti E, Salibian-Barrera M, Van Aelst S.   Special issue on robust analysis of complex data   COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2013   65:   1-3.   DOI: 10.1016/j.csda.2013.04.007      
  • Dimitropoulos A, McQuillen PS, Sethi V, Moosa A, Chau V, Xu D, et al.   Brain injury and development in newborns with critical congenital heart disease   Neurology. 2013   81:   241–248.        
  • Falasinnu T, Gustafson P, Gilbert M, Shoveller J.   Risk prediction in sexual health contexts: Protocol   JMIR research protocols. 2013   2:     DOI: 10.2196/resprot.2971      
  • Freue GVCohen, Meredith A, Smith D, Bergman A, Sasaki M, Lam KKY, et al.   Computational biomarker pipeline from discovery to clinical implementation: plasma proteomic biomarkers for cardiac transplantation   PLoS Comput Biol. 2013   9:   e1002963.        
  • Freue GVCohen, Ortiz-Molina H, Zamar RH.   A Natural Robustification of the Ordinary Instrumental Variables Estimator   BIOMETRICS. 2013   69:   641-650.   DOI: 10.1111/biom.12043      
  • Freue GVCohen, Ortiz-Molina H, Zamar RH.   A natural robustification of the ordinary instrumental variables estimator   Biometrics. 2013   69:   641–650.        
  • Gano D, Chau V, Poskitt KJ, Hill A, Roland E, Brant R, et al.   Evolution of pattern of injury and quantitative MRI on days 1 and 3 in term newborns with hypoxic-ischemic encephalopathy   Pediatr. Res.. 2013   74:   82–87.        
  • Gaydos TL, Heckman NE, Kirkpatrick M, Stinchcombe JR, Schmitt J, Kingsolver J, et al.   VISUALIZING GENETIC CONSTRAINTS   ANNALS OF APPLIED STATISTICS. 2013   7:   860-882.   DOI: 10.1214/12-AOAS603      
  • Gover A, Chau V, Miller SP, Brant R, McFadden DE, Poskitt KJ, et al.   Prenatal and postnatal inflammation in relation to cortisol levels in preterm infants at 18 months corrected age   J Perinatol. 2013   33:   647–651.        
  • Grunau RE, Cepeda IL, Chau CM, Brummelte S, Weinberg J, Lavoie PM, et al.   Neonatal pain-related stress and NFKBIA genotype are associated with altered cortisol levels in preterm boys at school age   PLoS ONE. 2013   8:   e73926.        
  • Gustafson P, Gilbert M, Xia M, Michelow W, Robert W, Trussler T, et al.   Impact of Statistical Adjustment for Frequency of Venue Attendance in a Venue-based Survey of Men Who Have Sex With Men   American Journal of Epidemiology. 2013   177:   1157–1164.   DOI: 10.1093/aje/kws358      
  • Gustafson P.   Bayesian Analysis of Frailty Models   Handbook of Survival Analysis. 2013     475.        
  • Hajiaghayi M, Kirkpatrick B, Wang L, Bouchard-Côté A.   Efficient Continuous-Time Markov Chain Estimation   arXiv. 2013   1309.325:          
  • Heckman N, Lockhart R, Nielsen JD.   Penalized regression, mixed effects models and appropriate modelling   ELECTRONIC JOURNAL OF STATISTICS. 2013   7:   1517-1552.   DOI: 10.1214/13-EJS809      
  • Hennig C, Liao TF.   How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification   Journal of the Royal Statistical Society: Series C (Applied Statistics). 2013   62:   309–369.        
  • Hollander Z, Chen V, Sidhu K, Lin D, Ng RT, Balshaw R, et al.   Predicting acute cardiac rejection from donor heart and pre-transplant recipient blood gene expression   JOURNAL OF HEART AND LUNG TRANSPLANTATION. 2013   32:   259-265.   DOI: 10.1016/j.healun.2012.11.008      
  • Homrighausen D, McDonald DJ, Dasgupta S, McAllester D.   The lasso, persistence, and cross-validation   Proceedings of the Thirtieth International Conference on Machine Learning (ICML) [Internet]. 2013   28:   1031–1039.     URL: http://proceedings.mlr.press/v28/homrighausen13.html    
  • Hsu B, Shu M, WU L.   Dynamic performance modelling and measuring for machine tools with continuous-state wear processes   International Journal of Production Research [Internet]. 2013   51:   4718–4731.   DOI: 10.1080/00207543.2013.793858   URL: http://dx.doi.org/10.1080/00207543.2013.793858    
  • Hua L, Joe H, Li H, Li X.   Intermediate tail dependence: a review and some new results   Stochastic Orders in Reliability and Risk. 2013   208:   291-311.   DOI: 10.1007/978-1-4614-6892-9_15      
  • Huang MLing, Coia V, Brill P.   A Cluster Truncated Pareto Distribution and Its Applications   ISRN Probability and Statistics. 2013   2013:          
  • Jackson MJ, Gow JL, Evelyn MJ, McMahon TScott, Campbell H, Sheppard J, et al.   Modelling factors that affect the presence of larval mosquitoes (Diptera: Culicidae) in stormwater drainage systems to improve the efficacy of control programmes   The Canadian Entomologist. 2013   145:   674–685.        
  • Jun S, Bouchard-Côté A.   A Stochastic Map View of Sequential Monte Carlo with Applications to Memory and Network Efficiency   Randomized Algorithm Workshop at Advances in Neural Information Processing Systems 26 (NIPS). 2013            
  • Kang J, Brant R, Ghali WA.   Statistical methods for the meta-analysis of diagnostic tests must take into account the use of surrogate standards   J Clin Epidemiol. 2013   66:   566–574.        
  • Kang THyuk, Park Y, Bader JS, Friedmann T.   The housekeeping gene hypoxanthine guanine phosphoribosyltransferase (HPRT) regulates multiple developmental and metabolic pathways of murine embryonic stem cell neuronal differentiation   PLoS One. 2013   8:   e74967.