4 papers
Regression modeling of multivariate precipitation extremes under regular variation
Rishikesh Yadav, Arnab Hazra
Motivated by the EVA2025 data challenge, where we participated as the team DesiBoys, we propose a regression strategy within the framework of regular variation to estimate the occu…
Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments
Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee
Since the turn of the century, approximate Bayesian inference has steadily evolved as new computational techniques have been incorporated to handle increasingly complex, large-scal…
A Review of Statistical and Machine Learning Approaches for Coral Bleaching Assessment
Soham Sarkar, Arnab Hazra
Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface…
An utopic adventure in the modelling of conditional univariate and multivariate extremes
Léo R. Belzile, Arnab Hazra, Rishikesh Yadav
The EVA 2023 data competition consisted of four challenges, ranging from interval estimation for very high quantiles of univariate extremes conditional on covariates, point estimat…