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segmented is a Python toolbox for segmented regression.
Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Must-read papers and resources related to causal inference and machine (deep) learning
A collection of tools for working with DSGE models in python, inspired by the R package gEcon
Numerical Analysis code from the Oscar Veliz YouTube Channel
A system for Bayesian estimation of state space models using PyMC