A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
-
Updated
Dec 27, 2024 - Jupyter Notebook
#
confidence-intervals
Here are 280 public repositories matching this topic...
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
data-science ggplot2 r dplyr rstudio tidyverse regression data-visualization statistical-inference rstats confidence-intervals tidy data-wrangling bootstrap-method regression-models hypothesis-testing infer permutation-test moderndive
-
Updated
Dec 27, 2024 - HTML
Python package for conformal prediction
python machine-learning scikit-learn sklearn jupyter-notebook regression confidence-intervals uncertainty-quantification quantile-regression conformal-prediction prediction-intervals cumulative-distribution-function prediction-sets conformal-regressors conformal-predictive-systems conformal-classifiers
-
Updated
Sep 21, 2024 - Python
📊 Computation and processing of models' parameters
bootstrap r ci parameters beta data-reduction feature-extraction pca confidence-intervals r-package pvalues regression-models hacktoberfest statistical-models fa feature-reduction standardize robust-statistics easystats standardized-estimates
-
Updated
Dec 15, 2024 - R
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
machine-learning statistics inference p-value statistical-analysis statistical-inference confidence-intervals confidence-interval p-values
-
Updated
Dec 22, 2024 - Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
python statistics probability regression p-value scipy confidence-intervals matplotlib inferential-statistics discrete-distributions hypothesis-testing continuous-distributions probability-theory random-variables python-statistics statistics-for-data-science statiscal-learning statistical-hypothesis-testing parametric-hypothesis-tests statistics-using-python
-
Updated
Nov 3, 2024 - Jupyter Notebook
Statistical bootstrapping library for Julia
-
Updated
Nov 5, 2023 - Julia
Randomization-based inference in Python
python bootstrap confidence-intervals jackknife resample permutation-test jackknife-resampling bootstrap-samples
-
Updated
Dec 23, 2024 - Python
Robust statistics in Python
python r statistics stats data-analysis confidence-intervals hypothesis-testing significance-testing null-hypothesis robust-statistics
-
Updated
Jul 6, 2023 - Python
Honest inference in regression discontinuity designs
-
Updated
Dec 18, 2024 - R
PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
weather machine-learning transformer lstm forecasting confidence-intervals hacktoberfest dni ghi time-series-forecasting lstm-cnn dhi solar-irradiance series-models ghi-prediction
-
Updated
May 21, 2020 - Python
Bringing back uncertainty to machine learning.
bootstrap machine-learning uncertainty confidence-intervals quantile-regression prediction-intervals quantile-regression-forests
-
Updated
Jun 10, 2024 - Python
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
-
Updated
Mar 8, 2022 - Jupyter Notebook
Collection of Artificial Intelligence Algorithms implemented on various problems
reinforcement-learning genetic-algorithm epsilon-greedy gaussian-mixture-models confidence-intervals hidden-markov-model hopfield-network decision-tree-classifier hierarchical-clustering artificial-intelligence-algorithms k-sat travelling-salesman-problem k-means-clustering menace jealous-husband adaptive-smoothing
-
Updated
Oct 23, 2020 - Jupyter Notebook
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
-
Updated
Dec 17, 2024 - R
Wilson score interval implemented in javascript
-
Updated
Jan 12, 2023 - JavaScript
Collection of Matlab functions for the computation of measures of effect size
-
Updated
Nov 12, 2018 - MATLAB
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
confidence-intervals uncertainty-quantification conformal-prediction prediction-intervals conformal-regressors
-
Updated
Mar 23, 2023 - Jupyter Notebook
Computationally efficient confidence intervals for cross-validated AUC estimates in R
-
Updated
Jan 18, 2022 - R
Library for bootstrapping statistics
-
Updated
Nov 25, 2017 - Python
Improve this page
Add a description, image, and links to the confidence-intervals topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the confidence-intervals topic, visit your repo's landing page and select "manage topics."