Program | Statistical Society of Canada

PLEASE NOTE THAT ALL TIMES IN THIS PROGRAM ARE GIVEN IN SASKATOON DAYLIGHT TIME.

	Sunday, May 25, 2025 to Wednesday, May 28, 2025
Scientific Sessions:	S	M	T	W	ALL
Workshops:	S	M	T	W	ALL
Social Events:	S	M	T	W	ALL
FULL Program:	S	M	T	W	ALL

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Wednesday, 28 May, 2025

08:30 - 09:50

CRM-SSC Prize in Statistics Invited Address

Room: HLTH 1150

08:30 - 09:50
Statistical Aspects of Trustworthy Machine Learning
Linglong Kong (University of Alberta)

10:20 - 11:50

Advances in Small Area Estimation Methods and Applications

Room: HLTH 1A60

10:20 - 10:50
Application of the Fay-Herriot Model with Correlated Design Errors, the Labour Force Survey Experience
François Verret (Statistique Canada)

Braedan Walker

Statistique Canada
10:50 - 11:20
Robust Estimation of Small Area Poverty Measures
Sanjoy Sinha (Carleton University)

J. N. K. Rao

Carleton University

Bayesian methods in design and analysis of clinical trials

Room: HLTH 1130

10:20 - 10:50
An Adaptive Enrichment Design Using Bayesian Model Averaging for Selection and Threshold-Identification of Tailoring Variables in Obstructive Sleep Apnea
Lara Maleyeff (McGill University)
10:50 - 11:20
An Economical Approach to Design Posterior Analyses
Nathaniel Tyler Stevens (University of Waterloo)

Luke Hagar

McGill University
11:20 - 11:50
Prior Distributions from Prospective Posterior Judgments
Hubert Wong (The University of British Columbia)

Yongdong Ouyang

The Hospital for Sick Children

Computational Methods for Stochastic Processes and Differential Equations

Room: ARTS 133

10:20 - 10:35
A Forward-Backward Variational Inference Method for Stochastic Differential Equations
Martin Lysy (University of Waterloo)

Wu Mohan

University of Waterloo
10:35 - 10:50
Statistical Strategies for Solving PDE-Based Optimization Problems in Molten-Salt Reactor Design
Zihao Zhen (University of Waterloo)

Martin Lysy

University of Waterloo

Conrard Girese Teetsassi Feugmo

University of Waterloo
10:50 - 11:05
Minimax Rate Optimal Algorithms For High-Dimensional Stochastic Linear Bandits
Yanglei Song (Queen's University)

Jingyu Liu

Queen's University
11:05 - 11:20
Inference for Mixed-effects Ordinary Differential Equations Using Manifold-Constrained Gaussian Processes
Yuxuan Zhao (University of Waterloo)
11:20 - 11:35
Functional clustering for spike train data
Bryn Crandles (University of Waterloo)

Ryan Browne

University of Waterloo

Reza Ramezan

University of Waterloo
11:35 - 11:50
Decomposing the Spectrograms of Generalized Uniformly Modulated Processes
Skye Paphora Griffith (Queen's University)

Modern statistical learning theory and application

Room: HLTH GB03

10:20 - 10:50
Self-Normalized Cramér-Type Moderate Deviation of Stochastic Gradient Langevin Dynamics
Jianya Lu (University of Essex)
10:50 - 11:20
Heavy and Light Receptor Chain Pairing from Spatial Transcriptomic Data
Farouk Nathoo (University of Victoria)

Flora Liu

University of Victoria

Shreena Kalaria

University of Victoria and Deeley Research Centre

Céline M. Laumont

Deeley Research Centre

Brad Nelson

Deeley Research Centre

Zhengxiao Wei

University of Victoria
11:20 - 11:50
Deep Learning for Survival Analysis: A Comparative Study
Jialin Hua (University of Calgary)

Thierry Chekouo

University of Minnesota

Xuewen Lu

University of Calgary

Hua Shen

University of Calgary

Jingjing Wu

University of Calgary

Mortality Modeling and Risk Management

Room: ARTS 146

10:20 - 10:50
A Bayesian Clustering Approach to Multi-Population Mortality Modeling and Forecasting
Mengyi Xu (Purdue University )

Antik Chakraborty

Purdue University

Yajing Xu

Southwestern University of Finance and Economics, China
10:50 - 11:20
Impact of Climate Change on Regional Human Mortality Improvement: A VARX-L framework
Yechao Meng (University of Prince Edward Island)

Lisa Gao

University of Waterloo
11:20 - 11:50
Risk-Sharing Pricing of Variable Annuities within a Principal-Agent Framework
Yumin Wang (University of Manitoba)

Min Dai

Hong Kong Polytechnic University

Bin Li

University of Waterloo

Dongchen Li

York University

Navigating Change: The Role of Technology and genAI in Shaping Modern Statistics Education

Room: ARTS 143

10:20 - 10:50
How I Learned to Stop Worrying and Love Flexibility
Diana Katherine Skrzydlo (University of Waterloo)
10:50 - 11:20
Understanding Student Use of Generative AI in Coursework
Samantha-Jo Caetano (University of Toronto)

Emily Somerset

University of Toronto

Andrea Portt

University of Toronto
11:20 - 11:50
The Future of Statistics Education: Reconciling student and educator perspectives?
Nathalie Moon (University of Toronto)

Recent Advances in Shrinkage Estimators

Room: HLTH 1B11

10:20 - 10:50
Tensor Shrinkage Estimation Methods
Mai Ghannam (University of Toronto)

Sévérien Nkurunziza

University of Windsor
10:50 - 11:20
Analysis of Shrinkage Methods for Support Vector Regression
Armin Hatefi (Memorial University of Newfoundland)

Emama Deena

Memorial University of Newfoundland
11:20 - 11:50
On Shrinkage Matrix Estimators in High and Ultra-high Dimensional Data
Sévérien Nkurunziza (University of Windsor)

Foroushani Arash

University of Windsor

Statistical Frontiers in Health and Environment

Room: ARTS 134

10:20 - 10:35
Wastewater-Based Reproduction Number for Epidemic Curve Reconstruction
Emily Somerset (University of Toronto)
10:35 - 10:50
Incorporating Weighted Block Sampling Techniques in Epidemic Curve Classification
Gyanendra Pokharel (The University of Winnipeg)
10:50 - 11:05
Diagnostic Test Accuracy Meta-Analysis Method Based on Exact Within-Study Variance Estimation Approach
Zelalem Firisa Negeri (University of Waterloo)

Olana Angesa Dabi

University of Waterloo
11:05 - 11:20
Missing Data Imputation Strategies: A Comparative Analysis of hourly and daily pollution Models
Guowen Huang (Western University)
11:20 - 11:35
Analysis of Capture-Recapture Data with Temporary Emigration: a Latent Multinomial Approach
Katarina Skopalova (University of Glasgow)

Statistics in Transportation

Room: HLTH GB06

10:20 - 10:50
Navigating Telematics Data: Challenges and Opportunities
Aurélie Labbe (HEC Montréal)
10:50 - 11:20
Hierarchical Bayesian Spatio-Temporal Model for Sensor-Based Bike Count Data
Pratheepa Jeganathan (McMaster University)

Rishikesh Yadav

HEC Montréal

Alexandra M. Schmidt

McGill University

Aurélie Labbe

HEC Montréal

Luis F. Miranda-Moren

McGill University
11:20 - 11:50
The Application Of Seemingly Unrelated Equations Technique To Explore Surrogate Measures In Road Safety
Emanuele Sacchi (University of Saskatchewan)

13:30 - 15:00

Celebrating the Legacy of Professor Saleh: A Tribute to a Pioneer in Statistical Science

Room: HLTH 1A60

13:30 - 15:00
13:30 - 14:00
Pretest, Shrinkage and Penalty Estimation Strategies: Past, Present Trends and Future
S. Ejaz Ahmed (Brock University)
14:00 - 14:30
Ridge--Type Shrinkage Estimators in Low and High Dimensional Beta Regression Models with Applications in Econometrics and Medicine
Abdulkadir Hussein (University of Windsor)

Analysis of some stochastic processes and applications

Room: HLTH 1B11

13:30 - 14:00
Scaling Limits of the Logarithm of the Partition Functions for Directed Polymers in Spatially Correlated Environment
Wang Meng (University of Alberta)
14:00 - 14:30
Interacting Particle Systems on Networks: Joint Inference of the Network and the Interaction Kernel
Xiong Wang (Johns Hopkins University)
14:30 - 15:00
On a Pinning Model in Correlated Gaussian Random Environments
Jian Song

Bayesian Innovations and Applications

Room: ARTS 134

13:30 - 13:45
Unraveling Dolly Varden (Salvelinus malma malma) Survival Patterns: A Bayesian Multi-State Approach with Covariate Considerations
Arjun Banik (University of Victoria)

Saman Muthukumarana

University of Manitoba

Laura Cowen

University of Victoria
13:45 - 14:00
Bayesian Variable Selection for Logistic Regression with Applications in Biomedical Data
Ayisha Najeeha COK (Thompson Rivers University)

Jabed Tomal

Thompson Rivers University
14:00 - 14:15
A Bayesian Hierarchical Weighted Poisson Mixed-Effects Model to Explain the Number of Children Ever Born in Afghanistan
Hao Xu (Thompson Rivers University)

Ayisha COK

Thompson Rivers University

Caleb von Maydell

Thompson Rivers University

Max Li

Thompson Rivers University

Nazrul Islam

University of Southampton; Max Planck Institute for Demographic Research

Jabed Tomal

Thompson Rivers University
14:15 - 14:30
Nonparametric Bayesian Classification for Fault Detection in an Electro-Hydrostatic Actuator
Nasim Feizinazhadgheshlaghi (University of Manitoba)

Nariman Sepehri

University of Manitoba

Saman Muthukumarana

University of Manitoba
14:30 - 14:45
Bayesian and Machine Learning Approaches for Improved Fertilizer Demand Prediction in Canada
Harshani De Silva (University of Manitoba)

Bridging Theory and Practice in Experimental Design

Room: HLTH GB06

13:30 - 14:00
Design Fractals: A Graphical Method for Evaluating Covering Arrays and Other Experimental Designs
Caleb King (JMP Statistical Discovery, LLC)

Ryan Lekivetz

JMP Statistical Discovery, LLC

Joseph Morgan

JMP Statistical Discovery, LLC
14:00 - 14:30
An Integrated Population Model Using Point-In-Time Counts and Electronic Health Records to Estimate the Population Size of Persons Contending with Homelessness in Greater Victoria
Gracia Yunruo Dong (University of Toronto)
14:30 - 15:00
Economical Design of Sequential Bayesian Analyses
Luke Hagar (The University of Queensland)

Shirin Golchi

McGill University

Distinguished Educator Award Address

Room: HLTH GB03

13:30 - 15:00
Teaching with Joy: An Educator's Journey of Gratitude and Growth
Bethany J.G. White (University of Toronto)

Pierre Robillard Invited Address

Room: ARTS 143

13:30 - 15:00
Measures for Risk, Dependence and Diversification
Liyuan Lin (Monash University)

Statistical Approaches to Modelling Dynamics and Decisions

Room: ARTS 133

13:30 - 13:45
The Necessity and Cost of Over-Simplification in Statistics
Jeffrey D. Picka (University of New Brunswick)
13:45 - 14:00
New Developments in Sequential Utility for Best-Worst Discrete Choice Models
Alia Sajjad (McGill University)

Sasanka Adhikari

Old Dominion University VA, USA

Norou Diawara

Old Dominion University VA, USA
14:00 - 14:15
Time Series Regression Models for Zero-Inflated Proportions
Melody Ghahramani (University of Winnipeg)

Antonio Axalan

University of Winnipeg

Dean Slonowsky

Vancouver Island University
14:15 - 14:30
Segmented Bent-Cable Regression Model for Change Point Data Analysis
Shahedul Khan (University of Saskatchewan)

Shakhawat Hossain

University of Winnipeg
14:30 - 14:45
Tests of non nested models: Methods and application
Corine J. F. Donou (Udes)

Pierre Dutilleul

McGill University

Taoufik Bouezmarni

Université de Sherbrooe
14:45 - 15:00
Max-Stability of Morillas-Type Distorted Copulas in Extreme-Value Theory
Nahid Sadr (Université de Sherbrooke)

Klaus Herrmann

Université de Sherbrooke

Marius Hofert

University of Hong Kong

Mélina Mailhot

Concordia University

Unsupervised learning and time series forecasting

Room: ARTS 146

13:30 - 14:00
A Markov Chain Gaussian Process Framework for Modeling Wind Speed Over a Large Geographical Area
Deniz Sezer (University of Calgary)
14:00 - 14:30
Are ROC Curves and AUC Sufficient for Fair Evaluation of Clustering Algorithms and Classification Models?
Adel Mohammadpour (Amirkabir University of Technology)

Hossein Kazemzadeh G

Amirkabir University of Technology

Mina Aminghafari

University of Calgary
14:30 - 15:00
Curvature-Aware Clustering with Geometric Integration for Manifold Learning
Mahishanaka Withanachchi (University of Calgary)

Mina Aminghafari

University of Calgary

Work – Life Balance Across Career Stages

Room: HLTH 1130

13:30 - 15:00
Work-Life Balance Across Career Stages
Jessica Gronsbell (University of Toronto)

Lawrence Mbuagbaw

McMaster University

Parisa Azimaee

Alberta Treasury Bank

Kim Bonnet

Natural Sciences and Engineering Research Council

15:30 - 17:00

Advances in Statistical Applications Across Different Fields

Room: ARTS 146

15:30 - 16:00
A Dual-Pathogen Epidemiological Model Applying Filtering Methods
Wade McDonald (University of Saskatchewan)

Jalen Mikuliak

University of Saskatchewan

Nathaniel Osgood

University of Saskatchewan
16:00 - 16:30
From Stems to Roots and Beyond: Data Analytics for Improvement of Cereal Lodging Resistance
Allan Feurtado (National Research Council of Canada)
16:30 - 17:00
Breaking down the Genotype to Phenotype Map to move from Associative to interpretive Prediction of Genetic Variation
David Konkin (National Research Council Canada)

Bridging Statistical Theory and Machine Learning Practice

Room: ARTS 133

15:30 - 15:45
Deep-forest Classification-based Inference for Individual Level Infectious Disease Models
Winner Pathak (University of Manitoba)

Gyanendra Pokharel

The University of Winnipeg

Elif Acar

University of Guelph
15:45 - 16:00
Modeling Binned and Truncated Data in Raman Spectroscopy
Babak Fathollahi Dehkordi (University of British Columbia Okanagan)

Jeffrey L. Andrews

University of British Columbia
16:00 - 16:15
Enhancing Neural Network Forecasts using Forecast Linear Augmented Projection Method
Avanthi Saumyamala Moragammana Gedara (University of Manitoba)
16:15 - 16:30
Statistical and Deep Learning Approaches for Risk Assessment and Volatility Forecasting in Renewable Energy Investments
Shalini Kaushalya Jayanetti Arachchi (University of Manitoba)
16:30 - 16:45
Machine Learning Models Based Interval Electricity Demand Forecasts with Interval Inputs
Sulalitha Bowala Mudiyanselage (University of Manitoba)

Causal Inference and Mediation Analysis in Health Data

Room: ARTS 134

15:30 - 15:45
Analytical Uncertainty Quantification for Multilevel Causal Mediation Analysis
William Ruth (Mount Royal University)
15:45 - 16:00
Functional Causal Mediation Analysis With Sparse Longitudinal Data and a Zero-Inflated Count Outcome
Henan Xu (University of Waterloo)

Yeying Zhu

University of Waterloo
16:00 - 16:15
The Effects of Semi-Continuous Exposure on Multiple Outcomes: Causal Inference and Homogeneity Tests
Xiaoya Wang (University of Waterloo)

Richard Cook

University of Waterloo

Yeying Zhu

University of Waterloo
16:15 - 16:30
Bernstein–von Mises Results for Semi-Parametric Bayesian Models in Causal Inference
Zayd Omar (McGill University)

David Stephens

McGill University
16:30 - 16:45
Efficient Estimation in Joint Models for Longitudinal and Competing Risks Survival Data
Guanhong Xiao (University of Manitoba)

Guanhong Xiao

University of Manitoba

CJS Award Address

Room: ARTS 143

15:30 - 17:00
Regression Model Selection via Log-Likelihood Ratio and Constrained Minimum Criterion
Min Tsao (University of Victoria)

Computational Statistical Methodologies and Algorithms for high-dimensional biomedical data in healthcare

Room: HLTH 1130

15:30 - 16:00
Development and Application of Machine Learning Ensemble Algorithms to Genome-Wide Association Studies
Li Xing (University of Saskatchewan)
16:00 - 16:30
Novel Data Collecting Approach and Analysis Algorithm for Cellular Deconvolution.
Xuekui Zhang (University of Victoria)
16:30 - 17:00
Automatic Hierarchical Clustering-Based Image Semantic Segmentation for Hyperspectral Fluorescence Images
You Liang (Toronto Metropolitan University)

Juan Liyau

Toronto Metropolitan University

Na Yu

Toronto Metropolitan University

Xun Zhou

St. Michael’s Hospital, Unity Health Toronto

Tomasz Tkaczyk

Rice University

Yeni Yucel

St. Michael’s Hospital, Unity Health Toronto

Recent Advances in the Analysis of Count/Proportional Data

Room: HLTH GB03

15:30 - 16:00
Bayesian Spatial Location-Scale Models for Modeling Spatial Dependence in Mean and Variance
Cindy Feng (Dalhousie University)
16:00 - 16:30
Shrinkage Estimation of Integer Autoregressive Processes of Order One with Covariates
Shakhawat Hossain (University of Winnipeg)

Melody Ghahramani

University of Winnipeg
16:30 - 17:00
The Zero-inflated Lindley-binomial Model for Analyzing the Proportions with End-point Inflation
Xiaoqing Zhang (University of Regina)

Dianliang Deng

University of Regina

Recent Developments in High-Dimensional Data Analysis

Room: HLTH GB06

15:30 - 16:00
Devariation: A Robust Approach to Improve Statistical Power in High-Dimensional Multi-View Association Testing
Jun Young Park (University of Toronto)
16:00 - 16:30
Optimal Federation For Mixture of Generative Sequential Learners
Xuwei Yang (McMaster University)

Fatemeh Tavakoli

The Vector Institute

Anastasis Kratsios

McMaster University and the Vector Institute

David Emerson

The Vector Institute
16:30 - 17:00
High-Dimensional Covariate-Dependent Gaussian Graphical Models
Xin Gao (York University)

Jiacheng Wang

York University

Recent Statistical Advancements in Sensitivity Analysis for Observational Studies and Transportability

Room: HLTH 1B11

15:30 - 16:00
Monte Carlo Sensitivity Analysis for Unmeasured Confounding in Dynamic Treatment Regimes
Eric James Rose (University at Albany)
16:00 - 16:30
Bayesian Sensitivity Analysis for the estimation of causal effects with time-dependent Unmeasured Confounding
Kuan Liu (University of Toronto)

Yushu Zou

Public Health Ontario
16:30 - 17:00
Sensitivity Analysis for Extending Causal Inferences of a Binary Point Treatment From a Randomized Controlled Trial to a Target Population When a Subset of Effect-Measure Modifiers Are Measured Only On Trial Units
Jay J. Xu (University of Toronto Dalla Lana School of Public Health)

Thomas Belin

University of California, Los Angeles

Marissa Seamans

University of California, Los Angeles

Ryoko Susukida

Johns Hopkins University

Masoumeh Amin-Esmaeili

Johns Hopkins University

Teaching reproducibility through examples

Room: HLTH 1A60

15:30 - 16:00
But It Works on My Machine: Creating Reusable Compute Environments for Research and Teaching
Daniel Chen (The University of British Columbia)
16:00 - 16:30
Teaching Reproducibility using Open-access Aata: a Case Study
Léo Belzile (HEC Montréal)
16:30 - 17:00
Learning about Irreproducibility to understand Reproducibility
Aya A. Mitani (University of Toronto)