Code for modelling estimated deaths and cases for COVID19.

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

pure-Python HistFactory implementation with tensors and autodiff

A resource list for causality in statistics, data science and physics

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.

Ambrosia is a Python library for A/B tests design, split and result measurement

My Solutions to 120 commonly asked data science interview questions.

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

Official AFNI source and documentation

MCMC sample analysis, kernel densities, plotting, and GUI

R package for statistical inference using partially observed Markov processes

Statistics tools and utilities.

Streamline a data analysis process

Hypothesis and statistical testing in Python

Basic statistical modelling examples.

Statistical inference on machine learning or general non-parametric models

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.

Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"