Departmental Colloquia (Statistics)

 

The Statistics Colloquia welcomes speakers to lecture on all subjects in statistics including general statistical theory and methodology, statistical applications, Biostatistics, Bioinformatics, statistical computing, genetic statistics, statistical methods in Molecular Evolution and environmental statistics. It greatly enhances the communication of our faculty members with statistical scientists all over the world, and provides good learning opportunities for our graduate students.

Times are in either Atlantic Standard Time (UTC-4; Mid-Fall, Winter) or Atlantic Daylight Time (UTC-3; Spring, Summer, early-Fall)

2022-2023 (Current Schedule)

Date & Time Title & Presenter How to Connect

September 15, 2022

11:30AM - 12:30PM

Cross-validated Z-residuals for Diagnosing Shared Frailty Models

Cindy Feng (Dalhousie University)

Via Zoom
812 8548 6651
970716

September 22, 2022

12:30PM - 1:30PM

Causal inference with data subject to covariate-dependent observation times: An application to a cohort of new users of antidepressants

Janie Coulombe (Université de Montréal)

Via Zoom
882 0321 3854
907682

September 29, 2022

12:30PM - 1:30PM

*New time*

Bayesian hierarchical modeling of spatial extremes

Christian Genest (McGill University)

Via Zoom
896 0007 7950
580719

October 6, 2022

11AM-12PM

Is there a limit to human longevity?

Léo Raymond-Belzile (HEC Montréal)

Via Zoom
816 2064 7497
162459

October 13, 2022

11:30am-12:30pm

Recent development on Bayesian causal estimation with longitudinal data

Kuan Liu (University of Toronto)

Via Zoom

816 2064 7497
16249

October 20, 2022    
October 27, 2022    

November 3, 2022

11:30AM - 12:30PM

Using optimal test assembly to shorten patient reported outcome measures: A case study of the PHQ-9

Daphna Harel (NYU Steinhardt)

via Zoom

814 8148 5265 Passcode 977292

     

2021-2022

Date Talks
October 21, 2021
Hector Banos Cervantes (Dalhousie University)
"Species Network Identifiability from Genomic Data under the Coalescent Model" Abstract
October 28, 2021
Charith Karunarathna (Dalhousie University)
"Sequence clustering for genetic mapping of binary traits" Abstract
November 4, 2021
Aaron Smith (University of Ottawa)
"Efficiency of Approximate MCMC" Abstract
November 18, 2021
Linh Vu (Dalhousie University)
"Some Fluctuation Results on Draw-down Times for Spectrally Negative Levy Processes" Abstract
January 20, 2022
Toby Kenney (Dalhousie University)
"Penalised Maximum Likelihood Deconvolution" Abstract
January 27, 2022
Quan Long (University of Calgary)
"What is TWAS and how do we use it in integrating gene expression data" Abstract
February 7, 2022
James Hugh McVittie (McGill University)
"Parametric modelling of combined failure time data from an incident cohort study and a prevalent cohort study with follow-up" Abstract
February 10, 2022
Theo Michelot (University of St Andrews)
"Multiscale models of animal movement and space use" Abstract
February 14, 2022
Yuexia Zhang (University of Toronto)
"Inverse Probability Weighting-based Mediation Analysis for Microbiome Data" Abstract
February 24, 2022
Yildiz Yilmaz (Memorial University of Newfoundland)
"Modeling Cancer Progression Events in Genetic Association Studies" Abstract
March 31, 2022
Orla Murphy (Dalhousie University)
"A penalized BIC for mixture model selection" Abstract
May 12, 2022
Paul Bastide (IMAG, Université de Montpellier)
"A Cauchy process to model trait evolution on a phylogeny" Abstract

2020-2021

Date Talks
October 8, 2020
Jason Xu (Department of Statistical Science, Duke University)
"Likelihood-based Inference for Stochastic Epidemic Models, with application to High-resolution Contact Tracking Data" Abstract
October 22, 2020
James Thorson (Alaska Fisheries Science Center and National Marine Fisheries Service)
"Forecasting nonlocal climate impacts for mobile species using multivariate spatio-temporal extensions to empirical orthogonal function analysis" Abstract
October 29, 2020
Qiong Zhang (School of Mathematical and Statistical Sciences, Clemson University)
"Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference" Abstract
November 5, 2020
James Hughes (Computer Science Department, St. Francis Xavier University)
"Vaccinating a Population is a Programing Problem" Abstract
November 19, 2020
Haolei Weng (Department of Statistics and Probability, Michigan State University)
"Optimal estimation of functions of high-dimensional mean and covariance matrix" Abstract
January 28, 2021
Chris Sherlock (Mathematics and Statistics Department, Lancaster University)
"Fast, exact inference for discretely observed Markov jump processes using finite rate matrices" Abstract
February 12, 2021
Jeffrey Picka (Department of Mathematics and Statistics, University of New Brunswick)
"Choosing to be Scientific About Data Analysis " Abstract
March 4, 2021
Jinko Graham (Statistics and Actuarial Science, Simon Fraser University)
"Relatedness, genealogies and DNA sharing" Abstract
March 18, 2021
Alexandre Bouchard-Côté (Department of Statistics, University of British Columbia)
"Approximation of intractable integrals using non-reversibility and non-linear distribution paths" Abstract
May 6, 2021
Vianey Leos Barajas (Department of Statistical Sciences / School of the Environment, University of Toronto)
"Extending the hidden Markov model to analyze complex ecological and environmental data" Abstract

2019-2020

Date Talks
October 3, 2019
(Joint with CGEB Seminar)
Marc Suchard (Departments of Biomathematics, Biostatistics and Human Genetics, UCLA)
"Gradients do grow on trees: linear-time gradients for high-dimensional phylogenetics" Abstract
October 10, 2019 Elias T. Krainski (Departments of Mathematics and Statistics, Dalhousie University)
"Spacetime models using the SPDE approach" Abstract
October 31, 2019 Andrew Rutenberg (Department of Physics, Dalhousie University)
"The physics of human aging" Abstract
November 21, 2019 Roman Smirnov & Kunpeng Wang (Department of Mathematics and Statistics, Dalhousie University)
"On mathematical and statistical tools for data analysis " Abstract
November 28, 2019 Arnold Mitnitski (Department of Medicine, Dalhousie University)
"Measuring and modeling health and aging" Abstract
March 2, 2020 Eric Pedersen (Department of Biology, Concordia University)
"Hierarchical Generalized Additive Models in ecology" Abstract
March 5, 2020 Orla Murphy (McMaster University)
"Applications in extreme value analysis and current work" Abstract
March 9, 2020 Neil Spencer (Carnegie Mellon University)
"A new framework for modeling sparse networks that makes sense (and can actually be fit!)" Abstract
March 18, 2020
(CANCELLED)
Jeff Picka (Department of Mathematics and Statistics, University of New Brunswick)
"When is data analysis scientific?" Abstract
March 19, 2020
(CANCELLED)
Dr. Yildiz Yilmaz (Memorial University)
"Modeling Cancer Progression Events in Genetic Association Studies" Abstract
April 16, 2020
(CANCELLED)
Boris Kablar (Departments of Medical Neuroscience/Anatomy and Pathology, Faculty of Medicine, Dalhousie University)
"TBA"
April 30, 2020
(CANCELLED)
James Thorson (Alaska Fisheries Science Center, National Marine Fisheries Service)
"TBA"

2018-2019

Date Talks
October 18, 2018 Crispin M. Mutshinda (Marine Macroecology and Biogeochemistry Lab, Dalhousie University)
"Bayesian methods for variable selection in high-dimensional regression models" Abstract
November 22, 2018 Chris Field (Department of Mathematics and Statistics, Dalhousie University)
"Statistics for the Birds" Abstract
January 31, 2019 Gary Sneddon (Department of Mathematics, Mount Saint Vincent University)
"Modelling of cross-classified count data" Abstract
February 28, 2019 Peter Wentzell (Department of Chemistry, Dalhousie University)
"Exploring Multivariate Data with Sparse Projection Pursuit Analysis" Abstract
March 14, 2019 Paulo Henrique Março (Federal Technological University of Paraná - Campo Mourão Campus)
"HOW STATISTICS IS IMPROVING FOOD ANALYSIS IN SOUTH-AMERICA: AN OVERVIEW OF BRAZILIAN CASES" Abstract
March 28, 2019 Cuong Nguyen (Amazon Web Services)
"Online Variational Inference for Gaussian Processes and Deep Neural Networks" Abstract
August 22, 2019 Ziheng Yang (Department of Genetics, Evolution and Environment, University College London)
"Bayesian Model Selection"