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 package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
A resource list for causality in statistics, data science and physics
Ambrosia is a Python library for A/B tests design, split and result measurement
My Solutions to 120 commonly asked data science interview questions.
Official AFNI source and documentation
MCMC sample analysis, kernel densities, plotting, and GUI
R package for statistical inference using partially observed Markov processes
Streamline a data analysis process. A book on data analysis, causal inference, and econometrics, written for readers with little to no prior background who want to develop both statistical intuition and practical R skills.
HEP statistics tools and utilities.
A curated list of valuable resources from our studies at the University of Tehran (UT), School of Electrical and Computer Engineering (ECE)
Hypothesis and statistical testing in Python
Information-Theoretic Measures for Revealing Variable Interactions
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.
Statistical inference on machine learning or general non-parametric models
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
Basic statistical modelling examples.
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