Events

Please Note: This seminar will be given in person.

High-dimensional limit theorems for stochastic gradient descent ​​​​​​​

Please Note: This seminar will be given in person.

Causal Inference and Counterfactuals with Optimal Transport With Applications in Fairness and Discrimination

Please Note: This seminar will be given in person.

Stabilized Core gene and Pathway Election uncovers pan-cancer shared pathways and a cancer-specific driver 

Distinguished Lecture Series

Vladimir Vovk 
Royal Holloway, University of London

Room: DC 1302

Nonparametric prediction and testing

Please Note: This seminar will be given in person.

Statistical curve models for inferring 3D chromatin architecture

Please Note: This seminar will be given in-person.

Some Comments on CV

Sparse estimation in heterogeneous varying coefficient regression models

Please Note: This seminar will be given in person.

Bayesian model comparison for mortality forecasting  (Coherent Quantification of Longevity Risk)

Overview:

Nowadays, statisticians and health data scientists actively work together on the frontier of biological, medical, and public health research. The transdisciplinary collaboration not only develops the modern foundations of Health Data Science but also accelerates the pace of scientific discovery and innovation. The 2nd CANSSI-NISS Health Data Science Workshop will be held on August 3-4, 2023 at the University of Waterloo in Waterloo, Canada. This workshop brings statisticians and health data scientists from the U.S. and Canada together to explore current approaches and new challenges for learning Big Data in Health Data Science. The two-day workshop consists of two keynote presentations, three invited sessions, a poster competition for students and new researchers, and a banquet/dinner on Day 1. There will also be two parallel short courses held in the afternoon before the workshop. Full event details of the workshop and short courses can be found on the NISS website.

On robustness and local differential privacy