Analyse efficacy of your own methods for calculating confidence interval
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Updated
Jun 7, 2021 - Python
Analyse efficacy of your own methods for calculating confidence interval
Fast bootstrap resampling in Python
A ML Component for Blood Glucose Prediction
Recipe ratio statistical analysis and comparison tool
Simple evaluation of classification confidence intervals.
Constructing frequentist confidence intervals using the statistical bootstrap
This module contains functions, bootStrapParamCI and bootStrapPredictInterval, that follow a bootstrap approach to produce confidence intervals for model parameters and prediction intervals for individual point predictions, respectively.
Compares several ways for calculating confidence interval (CI) of the relative difference of two sample means
Kernel quantile regression
Polynomial Regression hand-written digit classifier that can recognize digits from the MNIST dataset.
Implementation of "Deeply-Debiased Off-Policy Interval Estimation" (ICML, 2021) in Python
Implementation of "Statistical Inference of the Value Function for Reinforcement Learning" in Infinite Horizon Settings in Python
Feldman-Cousins Confidence Interval Calculation
A fast implementation of bootstrapping supporting multi-columns data.
Confidence intervals for binomial proportions.
Off-Policy Interval Estimation withConfounded Markov Decision Process
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).
Simple linear regression with confidence intervals
A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.
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