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
Jackknife & bootstrap resampling in Fortran with python bindings
Python package for the statistical analysis of lattice field theory data based on bootstrap and jackknife methods.
This code implements the Jackknife resampling algorithm.
Jackknife with R to estimate the bias of a statistic
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.
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