activity
20172021
most citedA multivariate spatial skew-t process for joint modeling of extreme precipitation indexes

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME20212 cited

Latent Gaussian Models for High-Dimensional Spatial Extremes

Arnab Hazra, Raphaël Huser, Árni V. Jóhannesson

In this chapter, we show how to efficiently model high-dimensional extreme peaks-over-threshold events over space in complex non-stationary settings, using extended latent Gaussian…

stat.AP2019

Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model

Arnab Hazra, Raphaël Huser

In this work, we estimate extreme sea surface temperature (SST) hotspots, i.e., high threshold exceedance regions, for the Red Sea, a vital region of high biodiversity. We analyze…

stat.AP20182 cited

A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes

Arnab Hazra, Brian J. Reich, Ana-Maria Staicu

To study trends in extreme precipitation across US over the years 1951-2017, we consider 10 climate indexes that represent extreme precipitation, such as annual maximum of daily pr…

stat.ME2018

A semiparametric spatiotemporal Bayesian model for the bulk and extremes of the Fosberg Fire Weather Index

Arnab Hazra, Brian J. Reich, Benjamin A. Shaby +1

Large wildfires pose a major environmental concern, and precise maps of fire risk can improve disaster relief planning. Fosberg Fire Weather Index (FFWI) is often used to measure w…

stat.AP2017

Analysis of Annual Cyclone Frequencies over Bay of Bengal: Effect of 2004 Indian Ocean Tsunami

Arnab Hazra

This paper discusses the time series trend and variability of the cyclone frequencies over Bay of Bengal, particularly in order to conclude if there is any significant difference i…