DPhil project: Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal. In development...

This repo contains the all the files (data, coding scripts and thesis) of my Master Thesis in Mathematics, where I had the opportunity to develop a ML model from scratch.

GNN for spatiotemporal Forecasting using Extreme Value Theory

Analyzes 75 years of hydrological data from New Jersey to examine flood recurrence and the impact of climate change, including exceedance probabilities and recurrence intervals for significant flood events.

Extreme value theory and GANs to generate compound coastal hazards (wind, precipitation, and significant wave height) over the Bay of Bengal.

Code for the WSDM 2021 paper "FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection".

Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.

Simulations for an article about extreme quantile region estimation

R package for estimation of elliptical extreme quantile regions

This project studies the effects of the shape parameter estimator uncertainty at different threshold levels on the value-at-risk confidence interval for quantitative risk management (QRM) using the Generalized Pareto Distribution (GPD) from the Extreme Value Theory (EVT) approach.

Find The Tail - Matlab