Python functions for simple nonparametric tests (both one-sample and paired).
-
Updated
Nov 12, 2021 - Jupyter Notebook
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
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
A collection of various non-parametric tests.
A comparion between parametric and nonparametric statistics using Python
UW course projects
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.
Code and documentation from density UQ review paper.
Implementation of the Polya completion algorithm for uncertainty restoration of the marginal MDP model
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.
Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?
Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper
Nonparametric analysis of 2020 US presidential elections.
TFG: Tratamiento estadístico de la fiabilidad en el campo de la ingeniería
Add a description, image, and links to the nonparametric-statistics topic page so that developers can more easily learn about it.
To associate your repository with the nonparametric-statistics topic, visit your repo's landing page and select "manage topics."