Randomization-based inference in Python
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Jackknife resampling, parameter estimation and stability test.
Supervisor : Dr. Bhaswati Ganguly
A toolkit for data analysis and handle data
Tools for julia programming of statistical analysis
Analysis of King County housing data using linear regression and Jackknife+ conformal prediction, with reproducible results and visualizations. This project was done in R.
Jackknife with R to estimate the bias of a statistic
This code implements the Jackknife resampling algorithm.
Jackknife & bootstrap resampling in Fortran with python bindings
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