About Arnab Hazra Arnab Hazra Postdoctoral Research Fellow, Statistics Statistics of extremes Environmental Statistics spatial statistics Statistical Modeling computational statistics Dr. Arnab Hazra was a postdoctoral fellow in the Extreme Statistics Research Group of Prof. Raphaël Huser from February 2019 until December 2021, doing research on spatial extremes with environmental applications and bayesian statistics. After his postdoc at KAUST, Arnab moved to the Indian Institute of Technology (IIT), Kanpur, India, where he embraced an academic career by becoming an Assistant Professor of Statistics. See his personal website here. Education and early career Arnab Hazra received his Ph.D. in Statistics from North Carolina State University, United States. His Ph.D. advisors Articles Related News December 2023 New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics (JABES) 1 min read · Tue, Dec 19 2023 Spotlight News Cisneros, D., Hazra, A., and Huser, R. (2023+), Spatial wildfire risk modeling using a tree-based multivariate generalized Pareto mixture model, Journal of Agricultural, Biological, and Environmental Statistics, to appear [ PDF preprint] January 2023 Two new papers in Extremes 1 min read · Thu, Jan 19 2023 Spotlight News Two new papers accepted to the Extremes Special Issue on the EVA Data Competition: Zhang, Z., Krainski, E., Zhong, P., Rue, H., and Huser, R. (2023+), Joint modeling and prediction of massive Spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach, Extremes, to appear [ PDF preprint]. Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2022+), A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes, Extremes, to appear [ PDF preprint]. January 2022 New book chapter accepted 1 min read · Tue, Jan 4 2022 Spotlight News statistics Spatial extremes New book chapter accepted: Hazra, A., Huser, R. , and Jóhannesson, Á. V. (2021+), Bayesian l atent Gaussian models for high-dimensional spatial extremes , In Statistical Modeling Using Bayesian Latent Gaussian Models – With Applications in Geophysics and Environmental Sciences, editor B. Hrafnkelsson, Springer, to appear [ arXiv ][ PDF preprint ]. November 2021 Congratulations to Arnab for his new position as Assistant Professor at the Indian Institute of Technology Kanpur 1 min read · Sat, Nov 20 2021 Spotlight News April 2021 Predicting future hotspots in the Red Sea 1 min read · Thu, Apr 8 2021 News big data Red Sea climate science statistics Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs. November 2020 Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model 1 min read · Fri, Nov 6 2020 News statistics Spatial extremes Red Sea New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint].
New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics (JABES) 1 min read · Tue, Dec 19 2023 Spotlight News Cisneros, D., Hazra, A., and Huser, R. (2023+), Spatial wildfire risk modeling using a tree-based multivariate generalized Pareto mixture model, Journal of Agricultural, Biological, and Environmental Statistics, to appear [ PDF preprint]
Two new papers in Extremes 1 min read · Thu, Jan 19 2023 Spotlight News Two new papers accepted to the Extremes Special Issue on the EVA Data Competition: Zhang, Z., Krainski, E., Zhong, P., Rue, H., and Huser, R. (2023+), Joint modeling and prediction of massive Spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach, Extremes, to appear [ PDF preprint]. Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2022+), A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes, Extremes, to appear [ PDF preprint].
New book chapter accepted 1 min read · Tue, Jan 4 2022 Spotlight News statistics Spatial extremes New book chapter accepted: Hazra, A., Huser, R. , and Jóhannesson, Á. V. (2021+), Bayesian l atent Gaussian models for high-dimensional spatial extremes , In Statistical Modeling Using Bayesian Latent Gaussian Models – With Applications in Geophysics and Environmental Sciences, editor B. Hrafnkelsson, Springer, to appear [ arXiv ][ PDF preprint ].
Congratulations to Arnab for his new position as Assistant Professor at the Indian Institute of Technology Kanpur 1 min read · Sat, Nov 20 2021 Spotlight News
Predicting future hotspots in the Red Sea 1 min read · Thu, Apr 8 2021 News big data Red Sea climate science statistics Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model 1 min read · Fri, Nov 6 2020 News statistics Spatial extremes Red Sea New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint].
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