Enhancing {ggplot2} plots with statistical analysis 📊📣
r dataviz datascience statistical-analysis regression-models hypothesis-testing effect-size ggplot-extension bayes-factors non-parametric-statistics
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Dec 28, 2025 - R
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non-parametric-statistics
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A Julia implementation of the Targeted Minimum Loss-based Estimation
machine-learning statistics julia tmle targeted-learning causal-inference double-robust non-parametric-statistics
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Nov 26, 2025 - Julia
A Julia package for Univariate and Multiple Comparisons Statistical Hypothesis Testing by Data Permutation
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Dec 8, 2025 - Julia
📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡
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May 27, 2021 - R
Hands-on Instructions on Different courses
python data-science machine-learning statistical-inference ensemble-learning stacking boosting bagging kolmogorov-smirnov contingency-table hands-on non-parametric-statistics
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Nov 28, 2023 - Jupyter Notebook
Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)
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Nov 17, 2023 - R
Hypothesis Testing CrossFit Game 2015
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May 5, 2023 - Jupyter Notebook
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
copula stability extinction-risk-assessment synchrony skewness moran-process surrogates tail-dependence modelselection non-parametric-statistics dependence-in-ecological-variables leibigs-law-of-minimum taylors-law
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Mar 16, 2020 - R
A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics
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Feb 5, 2024 - Python
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).
statistics matlab expectation expectation-maximization expectation-maximization-algorithm poisson-distribution signalprocessing non-parametric-statistics statistical-estimations iterative-algorithm non-parametric-estimation
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Sep 6, 2024 - MATLAB
This project is about A/B testing experiment conducted by Udacity, an e-learning platform, with the goal of reducing the number of users who leave the course at the end of the free-trial period.
hypothesis-testing parametric-tests applied-statistics non-parametric-statistics ab-testing-analysis
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Mar 19, 2025 - Jupyter Notebook
Non-parametric estimation of density using kernels and histograms with Python and R.
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May 1, 2025 - Jupyter Notebook
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.
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Oct 7, 2023 - HTML
MSc Thesis: Non-Parametric Estimation of Optimal Individualized Treatment Rules for Survival Data
machine-learning biostatistics survival-analysis missing-data causal-inference precision-medicine non-parametric-statistics support-vector
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Oct 8, 2024 - Jupyter Notebook
Median Test in R Software
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Oct 17, 2023
This is a Data Science project to analyse correlation between health conditions. This project aim is to don't use any build-in libraries and complete the analysis with raw coding
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Sep 12, 2025 - Python
Developed a function in R to compute the Cramér–von Mises test statistic(s) in R as no packages were readily available.
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Jul 21, 2021 - R
Correlated Zero Inflated Negative Binomial Process
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May 21, 2020 - Python
This repository contains case studies from real-world manufacturing environments, demonstrating how non-parametric tests can be carried out in manufacturing operations using Microsoft Excel.
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Jun 11, 2025
Project scope: Prediction if the bank's client will or will not leave the bank.
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Feb 20, 2022 - R
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