| September 20th, 2024 |
McGill Statistics Seminar |
Florian Maire |
Variance reduction by occluding a Markov chain |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| September 27th, 2024 |
McGill Statistics Seminar |
Ray Bai |
VCBART: Bayesian trees for varying coefficients |
15:30-16:30 |
Online: Retransmitted in Burnside 1104 / Zoom Link |
| October 11th, 2024 |
McGill Statistics Seminar |
Issam Moindjié |
A functional data approach for statistical shapes analysis |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| October 25th, 2024 |
McGill Statistics Seminar |
Antonio Lepore |
New Statistical Methods and Quality Control for Industry 4.0 |
15:30-16:30 |
Online: Retransmitted in Burnside 1104 / Zoom Link |
| November 1st, 2024 |
McGill Statistics Seminar |
Nhat Ho |
On Mixture of Experts in Large-Scale Statistical Machine Learning Applications |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 8th, 2024 |
McGill Statistics Seminar |
Christian Genest |
A latent-vine factor-copula time series model for extreme flood insurance losses |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 15th, 2024 |
McGill Statistics Seminar |
Simone Brugiapaglia |
Practical existence theorems for deep learning approximation in high dimensions |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |
| November 22nd, 2024 |
McGill Statistics Seminar |
Benjamin Bobbia |
Asymptotic behavior of data driven empirical measures for testing multivariate regular variation |
15:30-16:30 |
In person: Burnside 1104 / Zoom Link |