CANSSI (Canadian Statistical Sciences Institute) Quebec hosted its Second Edition of it’s Postdoc Day on September 10th, 2024. The event came from CANSSI Quebec's Interim Regional Director, Mélina Mailhot with an aim to provide the entire statistical sciences community the possibility of getting to know Quebec-based postdoctoral fellows doing statistics-centred research.
This year’s event took place at Department of Mathematics & Statistics at Concordia University featuring 7 postdoctoral presenters from various locations in Quebec. There was a strong attendance of 40 participants. The event was a great success and has set the stage for future exciting events by CANSSI Quebec.
Schedule
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
