Gustave: a User-oriented Statistical Toolkit for Analytical Variance Estimation
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Sep 2, 2026 - R
#
variance-estimation
Here are 6 public repositories matching this topic...
A small C library for computation of U-statistics
machine-learning statistics linear-regression cross-validation dataset supervised-learning confidence-intervals variance resampling uci-machine-learning error-rate resampling-methods variance-estimation generalization-error
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Jan 29, 2020 - C
Applying portfolio theory on real-life stock market data in order to derive some interesting insights about portfolio of renowned investors on twitter like @dmuthuk and @chetanp
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May 13, 2020 - Jupyter Notebook
Automated variance or load forecasting for a metric polled for min/max value on intervals (e.g. stock price, server resource utilisation)
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Apr 27, 2021 - Jupyter Notebook
Variance estimation and significance testing for ECB Consumer Expectations Survey aggregates using the Rao-Wu bootstrap. Config-driven Python pipeline with SDMX dissemination outputs.
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Jul 23, 2026 - Python
Design-based sampling in R. Eleven reusable sampling designs that know their own inclusion probabilities, so a drawn sample carries the weights needed for Horvitz-Thompson totals and means with standard errors.
r statistics rstats sampling sample-size survey-sampling variance-estimation probability-sampling survey-methodology cluster-sampling design-based-inference horvitz-thompson inclusion-probabilities stratified-samplin
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Aug 26, 2026 - R
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