Statistical Inference Python Packages

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

pyhf

pure-Python HistFactory implementation with tensors and autodiff

hepstats

HEP statistics tools and utilities.

ambrosia

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

generalized-additive-models

Generalized Additive Models in Python.

stattools

Statistical learning and inference algorithms implemented in Python 3

regression-inference

Python library for statistical inference in ML and Econometrics with GPU accelerated model training.

cegpy

Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.

esa-2scm

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

isweep

Methods for selective sweep inference

pytorch-inferno

PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)

dnn-inference

Dnn-Inference is a Python module for hypothesis testing based on deep neural networks.

scikit-stats

HEP statistics tools and utilities.

beta4dist

A Python Package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation

delimiterfinder

Python package for probabilistic delimiter detection.

scmopy

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

tfnbs

Threshold Free Network Based Statistics (TFNBS) Toolkit

buqeyemodel

A Bayesian model of series convergence using Gaussian sums

vimpy

vimpy: perform inference on algorithm-agnostic variable importance in python

memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

ambrozia

A Python library for working with A/B tests.

pysie

Python implementation of a statistical inference engine

ppi-aipw

AIPW-style semisupervised mean inference with calibration methods.

symlik

Symbolic Likelihood Models for Statistical Inference - MLE, standard errors, confidence intervals, hypothesis tests with automatic differentiation