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09/06/2023
A Semiparametric Generalized Exponential Regression Model with a Principled Distance-based Prior for Analyzing Trends in Rainfall
The Western Ghats mountain range holds critical importance in regulating...
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08/26/2023
Estimating Changepoints in Extremal Dependence, Applied to Aviation Stock Prices During COVID-19 Pandemic
The dependence in the tails of the joint distribution of two random vari...
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08/10/2023
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study
Increasingly large and complex spatial datasets pose massive inferential...
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08/07/2023
Spatial wildfire risk modeling using mixtures of tree-based multivariate Pareto distributions
Wildfires pose a severe threat to the ecosystem and economy, and risk as...
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10/11/2022
Flexible Modeling of Nonstationary Extremal Dependence Using Spatially-Fused LASSO and Ridge Penalties
Statistical modeling of a nonstationary spatial extremal dependence stru...
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06/16/2022
Minimum Density Power Divergence Estimation for the Generalized Exponential Distribution
Statistical modeling of rainfall data is an active research area in agro...
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12/30/2021
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge w...
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12/19/2021
Realistic and Fast Modeling of Spatial Extremes over Large Geographical Domains
Various natural phenomena exhibit spatial extremal dependence at short d...
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10/06/2021
Latent Gaussian Models for High-Dimensional Spatial Extremes
In this chapter, we show how to efficiently model high-dimensional extre...
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06/29/2021
Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
Arsenic (As) and other toxic elements contamination of groundwater in Ba...
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12/11/2019
Estimating high-resolution Red sea surface temperature hotspots, using a low-rank semiparametric spatial model
In this work, we estimate extreme sea surface temperature (SST) hotspots...
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12/11/2019
A low-rank semiparametric Bayesian spatial model for estimating extreme Red Sea surface temperature hotspots
In this work, we focus on estimating sea surface temperature (SST) hotsp...
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09/17/2019
Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
Statistical modeling of rainfall is an important challenge in meteorolog...
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12/31/2018
A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes
To study trends in extreme precipitation across US over the years 1951-2...
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12/31/2018