Python package for conformal prediction

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Randomization-based inference in Python

Robust statistics in Python

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

Bringing back uncertainty to machine learning.

Library for bootstrapping statistics

**curve_fit_utils** is a Python module containing useful tools for curve fitting

FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates

A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.

A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.

[JASA] Off-Policy Interval Estimation withConfounded Markov Decision Process

Simple linear regression with confidence intervals

Feldman-Cousins Confidence Interval Calculation

Official code repository for "Distribution-Independent Confidence Intervals for the Eigendecomposition of Covariance Matrices via the Eigenvalue-Eigenvector Identity" (ICML 2021 Workshop on Distribution-Free Uncertainty Quantification).

Confidence intervals for binomial proportions.

A fast implementation of bootstrapping supporting multi-columns data.

Codes for the AISTATS 2023 paper, A Statistical Analysis of Polyak-Ruppert Averaged Q-learning.

Implementation of "Statistical Inference of the Value Function for Reinforcement Learning" in Infinite Horizon Settings in Python