statistical-inference topic
pomp
R package for statistical inference using partially observed Markov processes
Statistics-for-Data-Science-using-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 us...
KissABC.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
learnable-opinion-dynamics
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
estimagic
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 p...
Ambrosia
Ambrosia is a Python library for A/B tests design, split and result measurement
drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
vimp
Perform inference on algorithm-agnostic variable importance
Statistical-Modeling-Examples
Basic statistical modelling examples.
pTFCE
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages