Events

Nov 5 - Nov 11, 2023

The KAUST 2023 Workshop on Statistics

Nov 6, 09:00 - Nov 9, 17:00

B18 R4203

statistics data science modeling big data sustainability health environment

The workshop will feature the latest research on statistical methods and modeling to address real-world challenges in health, environment, and sustainability.

Oct 29 - Nov 4, 2023

Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications

Andre Victor Ribeiro Amaral , Ph.D. Student, Statistics

Nov 2, 11:45 - 14:30

B9 L4 R4225

This thesis proposes statistical spatial and spatial-temporal methods for addressing real-world challenges within the public health and environmental domains.

Oct 15 - Oct 21, 2023

Latent Gaussian Spatial Modelling with Change of Support

Erick Chacon Montalvan, Postdoctoral fellow, Statistics Geohealth Group, KAUST

Oct 19, 12:00 - 13:00

B9 L2 H2

Spatial data analysis commonly needs to deal with spatial data derived from multiple sources (e.g. satellites, stations, survey samples) with different supports, but associated with the same properties of a spatial phenomenon under interest. Usually, predictors are also measured on different spatial supports than the response variable.

Aug 27 - Sep 2, 2023

Efficient Intensity Estimation Using Adaptive Bandwidths on Linear Networks: A Study and Application in Traffic Accident Analysis

Jonatan A. González, Postdoctoral Research Fellow, Statistics

Aug 31, 12:00 - 13:00

B9 L2 H2

Estimating first-order intensity functions is crucial in the analysis of point patterns on linear networks, but selecting suitable bandwidths for non-parametric methods remains challenging. We propose an adaptive intensity estimator for the heating kernel that adjusts bandwidths based on data points, a novel approach in this context.