Computational and Statistical Advances in Spatio-Temporal Modeling: Causality, Deep Learning, and High-Performance Computing Zipei Geng, Ph.D. Student, Statistics Nov 2, 16:00 - 18:00 B2, L5, R5209 spatio-temporal modeling causality and deep learning high-performance computing
On Computation and Robustness Issues in Spatial Statistics Sihan Chen, Ph.D. Student, Statistics Oct 30, 14:30 - 16:30 B2, L5, R5220 robust spatial inference computational methods spatial statistics
Models and Inference for Non-Gaussian Random Vectors and Fields Sagnik Mondal, Ph.D. Student, Statistics Nov 12, 12:30 - 14:30 B5 L5 R5209
Multivariate Functional Data Analysis and Visualization Zhuo Qu, Ph.D. Student, Statistics Nov 7, 11:00 - 13:00 B3 L5 R5220 functional data analysis multivariate functional data statistics
Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields Mary Lai O. Salvana, Ph.D. Student, Statistics Jun 7, 17:00 - 19:00 KAUST
Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data Soumya Das, Ph.D. Student, Statistics Jun 1, 16:00 - 18:00 KAUST
Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia Wanfang Chen, Ph.D., Statistics Oct 26, 15:00 - 17:00 KAUST
Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes Jian Cao, Ph.D., Statistics Apr 6, 16:00 - 18:00 KAUST
