17 citations · 40 across the 22 of their papers we have counts for
10 papers · 1 filter
Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
Ritik Roshan Giri, Arnab Hazra
Climate change has become a significant global concern due to its capacity to cause substantial disruption to daily life by increasing the frequency and intensity of extreme weathe…
A Bayesian latent Gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall
Sayan Bhowmik, Arnab Hazra
Assessing the availability of rainfall water plays a crucial role in rainfed agriculture. Given the substantial proportion of agricultural practices in India being rainfed and cons…
A semiparametric generalized exponential regression model with a principled distance-based prior
Arijit Dey, Arnab Hazra
The generalized exponential distribution is a well-known probability model in lifetime data analysis and several other research areas, including precipitation modeling. Despite hav…
Estimating Changepoints in Extremal Dependence, Applied to Aviation Stock Prices During COVID-19 Pandemic
Arnab Hazra, Shiladitya Bose
The dependence in the tails of the joint distribution of two random variables is generally assessed using -measure, the limiting conditional probability of one variable being ex…
Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
Indranil Sahoo, Arnab Hazra
Arsenic (As) and other toxic elements contamination of groundwater in Bangladesh poses a major threat to millions of people on a daily basis. Understanding complex relationships be…
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…
Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
Arnab Hazra, Abhik Ghosh
Statistical modeling of monthly, seasonal, or annual rainfall data is an important research area in meteorology. These models play a crucial role in rainfed agriculture, where a pr…
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…
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…
A Note on the Misuse of the Variance Test in Meteorological Studies
Arnab Hazra, Sourabh Bhattacharya, Sabyasachi Bhattacharya +1
The erroneous assumption "for all distributions for which the theoretical variance can be computed independently from parameters estimated by any method different from the method o…