Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

Hypothesis Testing CrossFit Game 2015

Correlated Zero Inflated Negative Binomial Process

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

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.

Median Test in R Software

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

Computer Intensive Stats - Project 02

The shared area under probability distribution curves test is a non-parametric alternative to the analysis of variance. It makes no assumptions about the data and it is not based on ranks, so information about absolute distances between data points is not lost.

Hands-on Instructions on Different courses

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).

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

Parametrik olmayan istatistiksel yöntemler dersinin ödevi

Project scope: Prediction if the bank's client will or will not leave the bank.

Materials of the Hands-on Biostatistics 2021 workshop

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.

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