Use bootstrap resampling to estimate the sampling distribution of a statistic

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)

Taylor True, Research Fellow, Harvard Graduate School of Education, HGSE, Education Policy and Analysis, Data Visualization and Analysis Portfolio

pure-Python HistFactory implementation with tensors and autodiff

R package for statistical inference using partially observed Markov processes

Statistical Inference for Data Science: UBC Term Project (2022W) - Inferential Analysis

MCMC sample analysis, kernel densities, plotting, and GUI

Official AFNI source and documentation

R package for score matching by automatic differentiation

Inference Tools for SciViews::R

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Mobile Games A/B Testing Analysis

Personal notes during reading Statistics with R by Jenine K. Harris, 1st ed. (2019)

Analysis of bus delays data from TTC (Toronto Transit Commission). So far we concluded that there is a statistically signigificant difference in number of delays between days with good weather and bad weather within the "Mechanical" and "General" delay reasons. More details in Jupyter Notebooks.

A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.

An R-package of teaching financial machine learning

For Data Enthusiasts Statistics Cheatsheet 2024