extreme statistics

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

The statistical modeling of spatial and extreme events provides a framework for the development of techniques and models to describe natural phenomena in a variety of environmental, geoscience, and climate science applications. In a changing climate, various natural hazards, such as wildfires, are believed to have evolved in frequency, size, and spatial extent, although regional responses may vary.

Modeling the neighborhood boosts landslide prediction

1 min read · Sun, Dec 13 2020

statistics extreme statistics

A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.

Paolo Victor Redondo

Ph.D., Statistics

extreme statistics Time Series

Ph.D. Degree in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser and Prof. Hernando Ombao.