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Upstream project repository
Diagnostics, summaries, and visualization support for Bayesian inference results.
Investigate Which diagnostics distinguish deliberately separated chains from independently generated draws of the same target?
UCI Machine Learning Repository
Auction-verification workload descriptors for examining computational cost prediction.
Investigate How well can a bounded runtime model predict withheld auction configuration families?
UCI Machine Learning Repository
Vehicle specifications and fuel-use observations for auditing small regression benchmarks.
Investigate Does a model-year holdout change fuel-economy error relative to a random split?
UCI Machine Learning Repository
Generated learning problems for examining how benchmark construction affects classifier comparisons.
Investigate How consistent are simple classifier rankings across a fixed selection of AutoUniv problem settings?
UCI Machine Learning Repository
Wireless localization simulation descriptors for examining error prediction across configurations.
Investigate How does localization-error prediction change when network configuration families are withheld?
UCI Machine Learning Repository
A rule-generated balance problem that separates memorization from learning a physical decision rule.
Investigate Can a learner recover balance outcomes on held-out weight-distance combinations?
Upstream project repository
A formula-based interface for Bayesian regression and hierarchical models.
Investigate How does partial pooling change group-mean estimation error under a specified synthetic hierarchy?
UCI Machine Learning Repository
Image-derived banknote features for a compact binary classification and robustness exercise.
Investigate Does banknote classification remain stable under plausible feature scaling and controlled perturbations?
UCI Machine Learning Repository
Air-quality measurements from multiple monitoring stations for auditing spatiotemporal forecasting.
Investigate How much does station holdout change particulate-matter prediction compared with chronological holdout alone?
UCI Machine Learning Repository
Forecast-model outputs and weather observations for investigating temperature bias correction.
Investigate Does bias correction improve held-out station and season errors over the raw temperature forecast?
UCI Machine Learning Repository
Aggregate bicycle-rental counts and contextual covariates for auditing demand forecasts.
Investigate Does a calendar-aware bike-demand baseline outperform persistence on the final chronological holdout?
SciPy documentation
The bootstrap reference explains percentile, basic and bias-corrected accelerated confidence intervals, paired resampling and computation controls.
Investigate How do interval coverage and width compare for a known skewed distribution at small sample sizes?
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