Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
Fast, dependence-aware resampling and uncertainty for time series and ragged panels.
A concise syntax to describe and execute routine data analysis tasks
Classes and functions to create and summarize resampling objects
HEP statistics tools and utilities.
Probabilistic reasoning and statistical analysis in TensorFlow
estimatr: Fast Estimators for Design-Based Inference
Generalized Linear Models
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
