A python library for time-series smoothing and outlier detection in a vectorized way.

Statistical bootstrapping library for Julia

A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.

Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

BASM - 2017 Spring

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

Python module to produce bootstrapped confidence intervals and effect sizes.

Correlation coefficients with uncertainties

Library for bootstrapping statistics

Calculate confidence intervals for correlation coefficients

Blocked Weighted Bootstrap

Master's thesis

about statistical techniques for Data Science

A MATLAB package for multivariate permutation testing and effect size measurement

This R package provides scoring mechanisms for computational challenges and implements the bayesBootLadderBoot approach for avoiding test data leakage.

Monte carlo calculation of Spearman's rank correlation coefficient with uncertainties. Following Curran (2014)

HE53_Bootstrap enables user to evaluate radiative transfer using field-measured inherent optical properties (IOPs). The program accepts ac-s and hs6 data and performs bootstrapping with replacement to produce a series of depth-binned absorption, attenuation, and backscattering from single spectra. The resulting output files can be uploaded into …

Performed a probabilistic analysis on sample GPA data using techniques such as Empirical distribution, Bootstrapping and Bayesian Analysis.