On September 10, CANSSI Quebec will host Postdoc Day 2024 at Concordia University. It’s a chance for the entire statistical sciences community to get to know Quebec-based postdoctoral fellows doing statistics-centred research. The event will feature research presentations by postdocs from across the province and will conclude with a reception.
We hope you’ll be able to join us.
See a blog post about last year’s Postdoc Day (includes presentation abstracts and YouTube recording).
Date: Tuesday, September 10, 2024
Location: Concordia University, 1400 De Maisonneuve W, Montreal, LB 921.04 (J.W. McConnell Building)
The event will take place in the Conference Room of the Department of Mathematics and Statistics of Concordia University (LB 921.04).
9:45 a.m. | Welcoming Remarks
10:00 a.m. | Presentation 1 | Rishikesh Yadav (HEC Montréal and McGill University) | Sparse Spatiotemporal Dynamic Generalized Linear Models for Inference and Prediction of Bike Counts
10:45 a.m. | Presentation 2 | Lara Malayeff (McGill University) | An Adaptive Enrichment Design Using Bayesian Model Averaging for Selection and Threshold-identification of Tailoring Variables
11:30 a.m. | Presentation 3 | Sébastien Jessup (Concordia University) | Flexible Extreme Thresholds Through Generalised Bayesian Model Averaging
12:15 p.m. | Lunch Break
1:15 p.m. | Presentation 4 | Arthur Chatton (Université de Montréal) | What If We Had Built a Prediction Model with a Survival Super Learner Instead of a Cox Model 10 Years Ago?
2:00 p.m. | Presentation 5 | Chi-Kuang Yeh (University of Waterloo and McGill University) | Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
2:45 p.m. | Presentation 6 | Dante Mata (Université du Québec à Montréal) | Title to come
3:30 p.m. | Presentation 7 | Marie Michaelides (Concordia University) | Bayesian Time Varying Conditional Copula Models for Spatio-Temporal Dependence in Crop Yield Data
4:15 p.m. | Reception