Randomization-based inference in Python
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Jackknife resampling and estimation in Julia
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
JackKnife is a Network Defense Tool Repository for Powershell. It is made up multiple powershell scripts I've made or borrowed to make work easier
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.
RBH-1 Validation & Reanalysis is an independent validation study of the extraordinary RBH-1 linear feature (van Dokkum et al. 2025), interpreted as a 62 kpc supersonic bow shock from a hypervelocity supermassive black hole ejected at ~1000 km/s.
Iris dataset
Jackknife instrumental variables estimation (JAE, 2010)
This code implements the Jackknife resampling algorithm.
Tools for julia programming of statistical analysis
Lattice QCD analysis code for data generated by GLAC
Jackknife and Bootstrap resampling and estimation in R
DNN codes of ProteenPhage Paper
End-to-end Python implementation of Dickerson, Mueller & Robotti (JFE 2023). Implements Dick-Nielsen TRACE cleaning, KRS misspecification-robust two-pass CSR, BKRS jackknife bias-corrected Sharpe ratios, and Fama-MacBeth regressions to rigorously identify priced risk factors in U.S. corporate bonds. Prevents false discoveries.
Sampling and resampling techniques for random sample generation, estimation, and simulation
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