Seminars

Statistical Modeling and Learning of Spatial Extremes in High Dimensions. Invited plenary speaker for the conference Spatial Statistics 2025: At the dawn of AI. Organized by the journal Spatial Statistics, Elsevier. NH Leeuwenhoorst, Noordwijk, The Netherlands. July 15-18, 2025. Link

Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties. Invited speaker for the conference, Recent Advances in Statistics: Theory and Applications (Online), organized by the Department of Statistics, Visva-Bharati University. March 17-18, 2025.

Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties. Invited speaker for the conference, Recent Developments in the Techniques of the Bayesian Paradigm, organized by the Department of Statistics, Benaras Hindu University. January 6-8, 2025.

Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties. Invited speaker for IISA 2024. CUSAT, Kochi, India. December 27-31, 2024

Spatial wildfire risk modeling using tree-based Husler-Reiss-type generalized Pareto process mixtures. Invited speaker for MATRIX workshop on Dependence modelling: Theory and Applications. July 22, 2024--August 2, 2024. University of Melbourne, Creswick, Australia.

Bayesian Spatiotemporal Modeling for Predicting Sea Surface Temperature  Dynamics and Identifying Hotspots in the Red Sea. Invited speaker (Lead PI from IIT Kanpur) for IITK-RICE symposium. May 6, 2024, Rice University, Houston, United States.

Estimating Changepoints in Extremal Dependence, Applied to Aviation Stock Prices During the COVID-19 Pandemic. Invited speaker for StatFin 2023. December 21-23, 2023, Chennai Mathematical Institute, Chennai, India.

A spatiotemporal statistical framework for marine heatwave analysis. Invited speaker for KAUST ExtStat meeting. November 28, 2023, KAUST, Saudi Arabia.

Spatial wildfire risk modeling using tree-based H\"usler--Reiss-type generalized Pareto process mixtures. Invited speaker for EVA 2023. June 26--30, 2023, Bocconi University, Milan, Italy.

Realistic and Fast Modeling of Spatial Extremes over Large Geographical Domains. Invited speaker for IISA 2022. December 26--30, 2022, Indian Institute of Science, Bangalore, India.

A sparse Gaussian scale mixture process for short-range extremal dependence and long-range independence. EVA 2021. June 28-August 2, 2021, University of Edinburgh (online event).

A sparse Gaussian scale mixture process for short-range extremal dependence and long-range independence. CRG meet 2021. February 1-3, 2021, online event.

Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. CRG meet 2021. February 1-3, 2021, online event.

Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. CEMSE seminar. September 17, 2020, KAUST, Saudi Arabia.

A sparse Gaussian scale mixture process for short-range extremal dependence and long-range independence. Joint Statistical Meetings 2020. August 1-6, online event.

A semiparametric Bayesian model for spatiotemporal extremes. ISRU seminar. March 5, 2020, ISRU, ISI Kolkata, India.

A low-rank semiparametric Bayesian spatial model for estimation of the Red Sea surface temperature hotspots (invited). YSM 2020. January 3-4, 2020, ISI Kolkata, India.

A low-rank semiparametric Bayesian spatial model for estimation of the Red Sea surface temperature hotspots (invited). IISA Conference. December 26-30, 2019, IIT Bombay, Mumbai, India.

A low-rank semiparametric Bayesian spatial model for estimation of the Red Sea surface temperature hotspots (invited). ERCIM 2019. December 14-16, 2019, Senate House, University of London, United Kingdom.

A semiparametric Bayesian model for large spatiotemporal data, with application to Red Sea surface temperature. JSM 2019. July 26-August 1 in Denver, United States. 

A semiparametric Bayesian model for spatiotemporal extremes and its extension for a large data scenario. EVA 2019. July 1-5 at Zagreb, Croatia.

A Spatio-temporal regression model for longitudinally acquired MRI data. 75th anniversary, Department of Statistics, NC State University, October 7- 8, 2016.

A Spatio-temporal regression model for longitudinally acquired MRI data. JSM 2016. July 30-August 04, 2016, Chicago, United States.

A nonparametric Bayesian state-space model for the analysis of annual frequencies of the North Indian Ocean cyclones. ISRU seminar. June 16, 2016, ISRU, ISI Kolkata.

The ”Sorrow of Bengal” and an unsolved problem: A Bayesian multivariate GEV model analysis of extreme river inflow at a reservoir network. ISRU seminar. December 29, 2015, ISRU, ISI Kolkata.

A covariate-dependent Bayesian spatial model for left-censored arsenic contamination data. ISRU seminar. June 25, 2015, ISRU, ISI Kolkata.

A simulation-free exact conditional goodness-of-fit test for the binomial distribution. ERCIM 2013. 14th-16th December 2013, Senate House, University of London.