There are 9 repositories under statistical-inference topic.
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.
Ambrosia is a Python library for A/B tests design, split and result measurement
My Solutions to 120 commonly asked data science interview questions.
R package for statistical inference using partially observed Markov processes
Streamline a data analysis process
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
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
Basic statistical modelling examples.
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
My Code Repository for Coursera Data Science Specialization by John Hopkins University
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
For Data Enthusiasts Statistics Cheatsheet 2024
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
Perform inference on algorithm-agnostic variable importance
A MATLAB package for multivariate permutation testing and effect size measurement
Perform inference on algorithm-agnostic variable importance in Python
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Significance tests of feature relevance for a black-box learner
Generalized Additive Models in Python.
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Fast Bayesian Hidden Markov Model with Wavelet Compression