bayesian bootstrapping in python
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Mar 12, 2022 - Python
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bootstrap-resampling
Here are 13 public repositories matching this topic...
**curve_fit_utils** is a Python module containing useful tools for curve fitting
data-science statistics regression least-squares statistical-analysis fitting curve-fitting data-analysis confidence-intervals statistical-tests bootstrap-method non-linear-regression jackknife least-square-regression chisquare bootstrap-resampling prediction-intervals prediction-band confidence-band
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Dec 23, 2017 - 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).
bootstrap jackknife quantum-monte-carlo error-analysis qmc bootstrap-resampling jackknife-resampling binning-analysis
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Dec 19, 2020 - Python
These projects were part of the course Data Analysis (ECE Department, AUTH, 7th semester).
statistics correlation matlab probability dimensionality-reduction data-analysis regression-algorithms bootstrap-resampling random-variables
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Jul 19, 2022 - MATLAB
Jackknife & bootstrap resampling in Fortran with python bindings
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Aug 29, 2025 - Python
MATLAB code for quality control of peak frequency estimates via bootstrapping.
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Sep 12, 2018 - MATLAB
Browser-based and Python tool for robust SWOT–AHP prioritization with bootstrap uncertainty, scenario sensitivity, TOWS strategy translation, and SPI ranking. No installation required.
uncertainty-quantification qualtrics ahp swot-analysis pairwise-comparison analytic-hierarchy-process bootstrap-resampling strategic-planning multi-criteria-decision-analysis interactive-tool browser-based-tool environmental-education tows-matix conservation-education rank-acceptability strategy-priority-index
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Mar 12, 2026 - HTML
Statistical analysis of salary differences based on job mode (remote vs. in-person) and education levels using Welch’s t-test, ANOVA, and bootstrapping.
data-science machine-learning numpy pandas data-visualization seaborn hypothesis-testing anova bootstrap-resampling salary-analysis welch-t-test career-analysis stack-overflow-survey remote-vs-onsite education-impact-on-salary
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Mar 5, 2025 - Python
Jackknife with R to estimate the bias of a statistic
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May 4, 2023 - R
XGBoost churn classifier on Kaggle e-commerce data. Part 1 of 2 — see Part 2 for MLOps implementation: https://github.com/anozk/Ecommerce_Churn_Prediction_Part2_MLOps_AWS_Deployment
calibration multicollinearity churn-prediction partial-dependence-plot local-outlier-factor bootstrap-resampling precision-recall-curve shap imputation-methods model-testing xgboost-classifier ablation-study
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Mar 18, 2026 - Jupyter Notebook
Tools for julia programming of statistical analysis
bootstrap julia julia-language error jackknife bootstrap-resampling linear-fitting jackknife-resampling
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Dec 28, 2024 - Julia
Implementation of LOWESS (Locally Weighted Scatterplot Smoothing) algorithm with bootstrap confidence intervals for nonparametric regression and data smoothing in Python.
education statistics time-series data-visualization forecasting smoothing confidence-intervals outlier-detection statsmodels nonparametric-regression local-regression bootstrap-resampling lowess data-smoothing statmodels scatter-plot-smoothing robust-weighting
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Mar 16, 2026 - Jupyter Notebook
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