6 papers · 1 filter
Minimum Density Power Divergence Estimation for the Gamma Distribution with Applications to Robust Rainfall Modeling
Arnab Hazra
Statistical modeling of rainfall amounts is of considerable importance in meteorology, hydrology, and agriculture. The gamma distribution remains one of the most popular choices fo…
Large Wave Direction Data Modeling Using Wrapped Spatial Gaussian Markov Random Fields
Arnab Hazra
Statistical modeling of dependent directional data remains relatively underexplored, particularly in high-dimensional spatial settings. Existing approaches for spatial angular data…
Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties
Xuanjie Shao, Arnab Hazra, Jordan Richards +1
Statistical modeling of a nonstationary spatial extremal dependence structure is challenging. Max-stable processes are common choices for modeling spatially-indexed block maxima, w…
Efficient Modeling of Spatial Extremes over Large Geographical Domains
Arnab Hazra, Raphaël Huser, David Bolin
Various natural phenomena exhibit spatial extremal dependence at short spatial distances. However, existing models proposed in the spatial extremes literature often assume that ext…
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
Indranil Sahoo, Suman Majumder, Arnab Hazra +2
Observations of groundwater pollutants, such as arsenic or Perfluorooctane sulfonate (PFOS), are riddled with left censoring. These measurements have impact on the health and lifes…
Minimum Density Power Divergence Estimation for the Generalized Exponential Distribution
Arnab Hazra
Statistical modeling of rainfall data is an active research area in agro-meteorology. The most common models fitted to such datasets are exponential, gamma, log-normal, and Weibull…