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

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…

Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733

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

The repo contains the main topics carried out in my master's thesis on operational risk. In particular, it is described how to implement the so called Loss Distribution Approach (LDA), which is considered the state-of-the-art method to compute capital charge among large banks.

Extreme value analysis using MATLAB

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

A Non-stationary Dependence Model for Extreme European Windstorms

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

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

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

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

CRAN Task View: Extreme Value Analysis

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

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

Loglikelihood Adjustment for Extreme Value Models

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

Partially-Interpretable Neural Networks for Extreme Value modelling

Estimation of the Extremal Index