In this project, I will study two dataset: . Fort Collins (Colorado) Daily precipitation amounts (inches) from a single rain gauge in Fort Collins, Colorado / . This dataset shows the annual maximum sea-levels recorded at Port Pirie, a location just north of Adelaide, South Australia, over the period 1923–1987

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

Loglikelihood Adjustment for Extreme Value Models

Seasonal Extreme Studentized Deviate(S-ESD) in Python

This paper develops new methods to handle false positives in High-Throughput Screening experiments.

Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)

This repository contains code, data, output, and figures associated with the A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia manuscript

Extreme value statistics

scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python

CRAN Task View: Extreme Value Analysis

Scatter diagrams are typically available in the form of observation counts or normalised into frequencies. These classes of Python modules aim to perform long-term uncertainty modelling of sea state parameters in an automated fashion. The first class takes in the scatter diagram and fits model parameters using DNV recommended probability distrib…

A demonstration of performing Extreme Value Theory (EVT) using the Block Maxima method with Bayesian sampling in Julia.

Likelihood-Based Inference for Time Series Extremes

A Non-stationary Dependence Model for Extreme European Windstorms

Repository for the paper: "Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow".

Outputs for my thesis. Includes some R codes, mainly on analysis of spatial data

Extreme Value Theory for comparing periodograms: Optimizing future transiting exoplanet surveys

Estimation of the Extremal Index

Extreme value analysis using MATLAB

Partially-Interpretable Neural Networks for Extreme Value modelling