Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment Daniela Cisneros, Ph.D. Student, Statistics Sep 11, 16:00 - 17:00 B3 L5 R5220 extreme statistics Applied Machine Learning geospatial statistics
Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data Matheus B. Guerrero, Ph.D. Student, Statistics Apr 4, 16:00 - 19:00 B4 L5 R5220 statistical methods integer-valued data autoregressive processes multivariate nonstationary extreme data
Flexible Multivariate, Spatial, and Causal Models for Extremes Yan Gong, Ph.D. Student, Statistics Mar 28, 16:00 - 19:00 B4 L5 R5220 risk assessment statistical analysis
Flexible Extremal Dependence Models for Multivariate and Spatial Extremes Zhongwei Zhang, Ph.D. Student, Statistics Oct 25, 15:00 - 18:00 B5 L5 R5220 Statistics of extremes spatial statistics
Bayesian Modeling of Sub-Asymptotic Spatial Extremes Rishikesh Yadav, Ph.D. Student, Statistics Apr 5, 15:00 - 17:00 B5 L5 R5220 spatial statistics extreme-value theory spatio-temporal statistics bayesian inference
Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes Peng Zhong, Ph.D. Student, Statistics Apr 4, 17:00 - 19:00 B3 L5 R5209
