Enhancing {ggplot2} plots with statistical analysis 📊📣

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡

Hands-on Instructions on Different courses

Hypothesis Testing CrossFit Game 2015

This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020

Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)

A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics

Correlated Zero Inflated Negative Binomial Process

Computer Intensive Stats - Project 02

Median Test in R Software

This project offers an R code implementation for estimating the density function using the kernel method. It explores different values of the parameters h and n to perform these estimations.

MSc Thesis: Non-Parametric Estimation of Optimal Individualized Treatment Rules for Survival Data

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

This is an R package for feature alignment issues in vertical federated learning

Parametrik olmayan istatistiksel yöntemler dersinin ödevi

All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.

Accessible implementation of statistical learning algorithms, non-parametric and high-dimensional methods.

1. 1-sample sign test 2. 1-sample Wilcoxon test. 3. Wilcoxon test for paired data. 4. Mann-Whitney test. 5. Mood's median test. 6. Kruskal Wallis test. 7. Friedman test.