Adaptive modeling

Disease Nowcasting Using Integrated and Adaptive Statistical Models

Yang Xiao, Ph.D. Student, Statistics

Apr 28, 10:00 - 12:30

B5 R5220; Zoom Meeting 93296195795

Adaptive modeling Public Health bayesian inference

This thesis provides a comprehensive Bayesian nowcasting framework that addresses reporting delays, integrates complementary data sources, and improves real-time estimation of disease activity.

Yang Xiao

Ph.D. Student, Statistics

spatio-temporal statistics bayesian inference Public Health Adaptive modeling forecasting Python (Programming Language)

Yang Xaio research specializes in the development of advanced spatio-temporal models and Bayesian frameworks.

ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems

Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science

Oct 8, 12:00 - 13:00

KAUST

Adaptive modeling

We present Exascale GeoStatistics (ExaGeoStat) software, a high-performance library implemented on a wide variety of contemporary hybrid distributed-shared supercomputers whose primary target is climate and environmental prediction applications.