research
∙
07/28/2023
On the perimeter estimation of pixelated excursion sets of 2D anisotropic random fields
We are interested in creating statistical methods to provide informative...
share
research
∙
12/06/2022
Spatial modeling and future projection of extreme precipitation extents
Extreme precipitation events with large spatial extents may have more se...
research
∙
10/13/2022
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning
We propose a novel extremal dependence measure called the partial tail-c...
research
∙
05/20/2022
Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
To accurately quantify landslide hazard in a region of Turkey, we develo...
research
∙
05/16/2022
A modeler's guide to extreme value software
This review paper surveys recent development in software implementations...
research
∙
12/17/2021
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data
In this work, we develop a constructive modeling framework for extreme t...
research
∙
05/17/2021
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
Accurate spatiotemporal modeling of conditions leading to moderate and l...
research
∙
05/11/2021
Modeling spatial extremes using normal mean-variance mixtures
Classical models for multivariate or spatial extremes are mainly based u...
research
∙
02/28/2021
Exact Simulation of Max-Infinitely Divisible Processes
Max-infinitely divisible (max-id) processes play a central role in extre...
research
∙
11/09/2020
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and the SPDE approach
The conditional extremes framework allows for event-based stochastic mod...
research
∙
06/14/2020
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event
Statistical models for landslide hazard enable mapping of risk factors a...
research
∙
06/02/2020
Assessing Non-Stationary Heatwave Hazard with Magnitude-Dependent Spatial Extremal Dependence
The modeling of spatio-temporal trends in temperature extremes can help ...
research
∙
04/01/2020
Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures
We develop a method for probabilistic prediction of extreme value hot-sp...
research
∙
02/20/2020
Landscape allocation: stochastic generators and statistical inference
In agricultural landscapes, the composition and spatial configuration of...
research
∙
02/19/2020
Point-process based Bayesian modeling of space-time structures of forest fire occurrences in Mediterranean France
Due to climate change and human activity, wildfires are expected to beco...
research
∙
02/19/2020
Semi-parametric resampling with extremes
Nonparametric resampling methods such as Direct Sampling are powerful to...
research
∙
12/10/2019
Spatial hierarchical modeling of threshold exceedances using rate mixtures
We develop new flexible univariate models for light-tailed and heavy-tai...
research
∙
12/03/2019
Space-Time Landslide Predictive Modelling
Landslides are nearly ubiquitous phenomena and pose severe threats to pe...
research
∙
03/12/2018
Extremal dependence of random scale constructions
A bivariate random vector can exhibit either asymptotic independence or ...
research
∙
02/05/2018
Exceedance-based nonlinear regression of tail dependence
The probability and structure of co-occurrences of extreme values in mul...
research
∙
02/04/2018
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
This work has been motivated by the challenge of the 2017 conference on ...
research
∙
01/09/2018
