MultiObjectiveFAEICA-Algorithm (Multi-objective fuzzy adaptive optimisation approach)

Master thesis - Functional distribution fitting of the top tails of the wealth distribution by the example of Germany and the United States

R package for convolution of Pareto distributions

The development of the economic distribution over time for a population where each individual has been given a personality according to the Big Five Model. Different trading styles are assigned according to their personality.

The primary application to power a Pareto Network node. Contains the frontend (Vue.js) and backend (Node.js) for Pareto Network.

A deep study of human longevity using demographic data (HLD, IDL) and Extreme Value Theory to assess the potential existence of a theoretical limit to human lifespan

A network cache simulator.

Seminar Thesis Estimating Pareto’s Coefficient with a Top-Wealth Database (WS18/19) with SOEP and Pretest data of new top wealth sample

Trade off site to suggest meal recipe based on nutrients to have a control on an individual's health and food choice.

Code for Bucher & Brandenburger (2022): Divisive Normalization is an Efficient Code for Multivariate Pareto-Distributed Environments.

Repository for ptsuite R-package

This README summarizes a collection of Jupyter notebooks that demonstrate core statistical concepts, data analysis techniques, and Python programming proficiency. Each notebook combines theoretical explanations with practical Python implementations to showcase hypothesis testing, probability distributions, and data transformations.

This is a visual simulation of the Pareto Distribution written in Python.

Statistical analysis on the Italian firms

By employing Extreme Value Theory, this research utilizes data from EM-DAT, World Bank, and IPCC databases to uncover insights into the impact of carbon emissions on exacerbating extreme flood events and the relationship between GDP per capita and flood severity.

ABC Analysis

Group project carried throughtout the subject of Statistical Inference Methods I. The main objective is to empirically study and compare the performance of different statistical procedures, specifically under various data conditions.

Inference for Pareto models