Python functions for simple nonparametric tests (both one-sample and paired).

The code interface is written in R, and for the sake of speed, most parts are written in C++. However, no prerequisite knowledge for both languages is required to run the code. An R file called runInfHMM.R sources all needed functions to compile and run the code.

Investigate the impact of the fall of Berlin wall and COVID-19 global lockdown on CO2 concentration.

Nonparametric functional data analysis

Morozov discrepancy principle in statistical inverse problems with Poisson noise

The order-md algorithm is an adjustment of the order-m algorithm for estimating efficiency scores of decision making units (firms)

R codes for Nonparametric Statistics

Elements of Survival Analysis in R and Python

Data and modeling notes for Nonparametric Statistics

Code and documentation from density UQ review paper.

Implementation of the Polya completion algorithm for uncertainty restoration of the marginal MDP model

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.

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

Synergistic Analysis of Phase Space Evolution

Code and data of the paper "A nonparametric test of independence between two random variables of any kind"

Covariate adjustment methods using generalized empirical likelihood and robust estimators

Samples of my work in programming and data analysis.

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

Code for my Project in Statistics: Nonparametric drift estimation of stochastic differential equations

Wavelet analysis requires two basic functions which are scaling function and details function. A wavelet system is the infinite collection of translated and scaled version of father wavelet and mother wavelet.