Ehsan Karim

Paul Gustafson
John Petkau

Causal Inference Approaches for Dealing with Time-dependent Confounding in Longitudinal Studies, with Applications to Multiple Sclerosis Research

Postdoctoral Researcher, Department of Epidemiology, Biostatistics and Occupational Health, McGill University and Postdoctoral Research Fellow, The Canadian Network for Observational Drug Effect Studies (CNODES)

Brian Leroux

Martin Puterman

Maximum likelihood estimation for mixture distributions and hidden Markov models

Postdoctoral fellow, Health Canada

Shiying Wu

James V. Zidek FRSC, O.C.

Asymptotic inference for segmented regression models

Statistics Canada

Paul Gerhard Kinas

Don Ludwig

Bayesian statistics for fishery stock assessment and management

University in Rio Grande, Brazil

Weimin Sun

James V. Zidek FRSC, O.C.

Bayesian Multivariate Interpolation with Missing Data and Its Applications

Post-Doctoral Fellow, Department of Statistics (University of British Columbia)

James (Jianmeng) Xu

Harry Joe

Statistical Modelling and Inference for Multivariate and Longitudinal Discrete Response Data

Statistical Consultant, Market Knowledge, Inc., Chicago

Xiaochun Li

Nancy E. Heckman

Local Linear Regression versus Backcalculation in Forecasting

Post-Doctoral Fellow, CRM (Centre de Recherches Mathematiques), ISM (Institute des Sciences Mathematiques), and UQAM (Universite du Quebec a Montreal)

Ao Yuan

Bertrand Clarke

A Minimally Informative Likelihood Approach to Bayesian Inference and Decision Analysis

Post-doctoral Fellow, Statistics Research Lab, Massachusetts General Hospital, Boston

Sonia Mazzi

Piet de jong

The Model Based Approach to Smoothing

Lecturer, Dept. of Economics, University of Hull, England

Renjun Ma

Bent Jorgensen

An Orthodox BLUP Approach to Generalized Linear Mixed Models

Post-doctoral Fellow, Dept. of Epidemiology & Community Medicine, University of Ottawa