Nonlinear Modelling of Dynamic Spatio-Temporal Data: An Introduction

Prof. Zudi LU, City University of Hong Kong

Sep 24, 2024, 16:00-17:00

Room 304, Lecture Hall 3

Bayesian Inference and Machine Learning Meet Spatial Data Science

Prof. Sudipto Banerjee, University of California, Los Angeles

Sep 14, 2024, 15:00-16:00

Room 341, Business School Building

Connecting the Dots: Statistical Models in Brain Imaging and Brain Networks Dynamics

Prof. Michele Guindani, University of California, Los Angeles

Sep 14, 2024, 14:00-15:00

Room 341, Business School Building

Brain-network-inspired computing for next-generation efficient and sustainable AI

Prof. Carlo Vittorio Cannistraci, Tsinghua Laboratory of Brain and Intelligence

Sep 9, 2024, 10:30-12:00

Room 109, Business School Building

MM Algorithms in Action

Prof. Hua ZHOU, University of California, Los Angeles

Sep 14, 2024, 16:00-16:30

Room 341, Business School Building

A Bayesian Criterion for Re-randomization

Prof. Ke DENG, Tsinghua University

Sep 6, 2024, 15:10-16:10

Room 103, Business School Building

Blockwise Mixed Membership Model for Discovering the Clinical Heterogeneity of Parkinson’s Disease

Prof. Kai KANG, Sun Yat-sen University

Sep 2, 2024, 16:30-17:30

Room 341, Business School Building

Science Driven Research in Statistics

Prof. Heping ZHANG, Yale University

Aug 15, 2024, 15:00-16:00

Room 341, Business School Building

Linking brain-wide gene expression and neuroimaging data in brain science

Prof. Shuixia GUO, Hunan Normal University

Aug 1, 2024, 16:30-17:30

Room 341, Business School Building

Deep Learning and Information Theory (A Critical Comparison)

Prof. Jean-Michel MOREL, City University of Hong Kong

Aug 1, 2024, 14:00-15:00

Room 208, Business School Building