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Ph.D. thesis
Spatiotemporal Modeling with Biomedical and Environmental Applications. Link-here.
Submitted papers
Sarkar, S., and Hazra, A. (2025+). A Review of Statistical and Machine Learning Approaches for Coral Bleaching Assessment. Link
Mukherjee, A., Hazra, A., and Vats, D. (2025+). Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data. Under review in Spatial Statistics. Link
Goyal, D. and Hazra, A. (2025+). Reliability of a system subjected to a cumulative shock model with a change point. Under review in Applied Stochastic Models in Business and Industry.
Bhowmik, S. and Hazra, A. (2025+). A Bayesian latent Gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall. Major revision communicated for The Japanese Journal of Statistics and Data Science. Link
Published/Accepted papers/book chapters (Ph.D. and post-Ph.D.)
2025+ (just accepted)
Dey, A. and Hazra, A. (2025+). A Semiparametric Generalized Exponential Regression Model with a Principled Distance-based Prior. Statistical Papers. Link
Gimeno-Sotelo, L., Richards, J., Hazra, A., Mhalla, L., and de Zea Bermudez, P. (2025+). A Review of Applications of Extreme Value Theory to Environmental Risk Assessment. Book chapter for the book Environmental Statistics: Innovative Methods and Applications (CRC Press).
Basu, A. and Hazra, A. (2025). A High-Dimensional Bayesian Skew-Gaussian Spatial Model for Analyzing Rainfall Trends. MATRIX Annals, Australia (accepted). Link
2025
Kumar, S., Srivastava, A. K., Hazra, A., and Ojha, R. (2025). Temporal Evolution of Soil Hydraulic Properties in a Cropping Season: Drivers and Hydrological Impacts. Hydrological Processes. Link
Hazra, A., Huser, R., and Bolin, D. (2025). Efficient Modeling of Spatial Extremes over Large Geographical Domains. Journal of Computational and Graphical Statistics (JCGS). Link
Pakrashi, A., Hazra, A., Raveendran, S. M., and Balakrishnan, K. (2025). Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources. The Journal of Agricultural, Biological and Environmental Statistics (JABES). Link
Sahoo, I., Majumder, S., Hazra, A., Rappold, A. G., and Bandyopadhyay, D. (2025). Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses. New England Journal of Statistics in Data Science. Link
Hazra, A. and Bose, S. (2025). Estimating Changepoints in Extremal Dependence, Applied to Aviation Stock Prices During the COVID-19 Pandemic. Journal of Applied Statistics (JAS). Link
Belzile, L. R., Hazra, A., and Yadav, R. (2025). A utopic adventure in the modeling of conditional univariate and multivariate extremes. Extremes. Link
Shao, X., Hazra, A., Richards, J., and Huser, R. (2025). Flexible Modeling of Non-Stationary Extremal Dependence Using Spatially-Fused LASSO and Ridge Penalties. Technometrics. Link
Hazra, A., Nag, P., Yadav, R., and Sun, Y. (2025). Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study. The Journal of Agricultural, Biological and Environmental Statistics (JABES). Link
Hazra, A. (2025). Minimum Density Power Divergence Estimation for the Generalized Exponential Distribution. Communications in Statistics – Theory and Methods. Link
2024
Hazra, A. and Ghosh, A. (2024). Robust statistical modeling of monthly rainfall: The minimum density power divergence approach. Sankhya: The Indian Journal of Statistics, Series B. Link
Cisneros, D., Hazra, A., and Huser, R. (2024). Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model. The Journal of Agricultural, Biological and Environmental Statistics (JABES). Link (Recipient of the 2024 JABES Best Paper of the Year award)
2023
Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2023). A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes. Extremes. Link
Hazra, A., Huser, R., and Johannesson, A. V. (2023). Bayesian Latent Gaussian Models for High-Dimensional Spatial Extremes. Book chapter in Statistical Modeling Using Bayesian Latent Gaussian Models - With Applications in Geophysics and Environmental Sciences. Springer. Link
2022
Birgand, F., Chapman, K., Hazra, A., Gilmore, T., Brown, A., Etheridge, R., and Staicu, A. (2022). Field performance of the GaugeCam image-based water level measurement system. PLOS Water. Link
2021
Sahoo, I., and Hazra, A. (2021). Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data. Journal of the Indian Statistical Association. Link
Hazra, A. and Huser, R. (2021). Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. The Annals of Applied Statistics. Link
2020
Hazra, A., Reich, B. J., and Staicu, A. (2020). A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes. Environmetrics. Link
2019
Hazra, A., Reich, B. J., Reich, D. S., Shinohara, R. T., and Staicu, A. (2019). A spatiotemporal model for longitudinal image-on-image regression. Statistics in Biosciences. Link
2018
Hazra, A., Bhattacharya, S., and Banik, P. (2018). A Bayesian zero-inflated exponential distribution model for the analysis of weekly rainfall of the eastern plateau region of India. MAUSAM. Link
2017
Hazra, A., Bhattacharya, S., Banik, P., and Bhattacharya, S. (2017). A note on the misuses of the variance test in meteorological studies. Meteorology and Atmospheric Physics. Link
Das, M., Hazra, A., Sarkar, A., Bhattacharya, S., and Banik, P. (2017). Comparison of spatial interpolation methods for estimation of weekly rainfall in West Bengal, India. MAUSAM. Link
2016
Saha, E., Hazra, A., and Banik, P. (2016). SARIMA modeling of the monthly average maximum and minimum temperatures in the eastern plateau region of India. MAUSAM. Vol. 67, Issue 4, pp 841-848. Link
Mukhopadhyay, S., Hazra, A., Bhowmick, A. R., and Bhattacharya, S. (2016). On comparison of relative growth rates under different environmental conditions with application to biological data. METRON. Link
2015
Hazra, A. (2015). A simulation-free exact conditional goodness-of-fit test for the binomial distribution. Calcutta Statistical Association Bulletin. Link
2014
Hazra, A., Bhattacharya, S. and Banik, P. (2014). Modeling Nakshatra-wise rainfall data of the eastern plateau region of India. MAUSAM. Link
2013
Hazra, A. (2013). An exact Kolmogorov-Smirnov test for the negative binomial distribution with an unknown probability of success. Research and Reviews: Journal of Statistics. Link
Papers in preparation/archived
Mukhopadhyay, M. and Hazra, A. (2025+). A graph-based distribution-free Pettitt test for spatiotemporal data.
Hazra, A., Alahmadi, E., and Huser, R. (2025+). Extreme-Value Analysis.
Hazra, A., Reich, B. J., Shaby, B., and Staicu, A. (2025+). A semiparametric spatiotemporal Bayesian model for bulk and extremes of the Fosberg Fire Weather Index. Link
Research projects
Forecast calibration of PM2.5 using Bayesian model averaging- with Brian Reich, Department of Statistics, North Carolina State University and Ana Rappold, United States Environmental Protection Agency.
A nonparametric Bayesian state-space model for the analysis of annual frequencies of the North Indian Ocean cyclones- with Sourabh Bhattacharya, ISRU, ISI Kolkata.
A Hierarchical Bayesian Multivariate GEV Model for the analysis of Extreme River Inflow at Five Reservoirs on the River Damodar, India- with Elizabeth Mannshardt, Department of Statistics, North Carolina State University.
A basis function-based non-parametric non-stationary state-space model for spatiotemporal data- with Sourabh Bhattacharya, ISRU, ISI Kolkata.
Spatial statistical analysis of tropical rainfall in Himalayan and sub-Himalayan regions and Damodar valley based on TRMM Data - with Prof. Parthasarathi Ghosh, GSU, ISI Kolkata.
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