5 papers
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…
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…
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…
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…