Tool for generating random variables that follows given frequency distibution using linear regressions in given intervals.

Functional Time Series Clustering

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.

Mood's median test is non-parametric statistical test to compare medians among of two or more groups

My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.

Synergistic Analysis of Phase Space Evolution

R package for nonparametric estimation of CES

UW course projects

Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes

Hypothesis and statistical testing in Python

A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification

Predicting the prices of diamonds using nonparametric methods

This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.

Nonparametric methods concerning to expected shortfall

Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.

Estadística no paramétrica