📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
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Apr 1, 2026 - JavaScript
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bootstrap-confidence-intervals
Here are 11 public repositories matching this topic...
This repo contains code to perform Bootstrap Confidence Intervals estimation (a.k.a. Monte Carlo Confidence Interval or Empirical Confidence Interval estimation) for Machine Learing models.
machine-learning deep-learning monte-carlo neural-networks confidence-intervals monte-carlo-sampling confidence-estimation bootstrap-confidence-intervals
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Oct 10, 2021 - Jupyter Notebook
Bootstrap confidence interval.
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Dec 9, 2018 - Jupyter Notebook
A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling.
bootstrap r-package standardized bootstrap-confidence-intervals standardized-effect-size structural-equatin-modeling
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Mar 18, 2026 - R
Bunch of exercises computed during the Machine Learning for Finance course.
r rmarkdown logistic-regression knn ols-regression quadratic-discriminant-analysis linear-discriminant-analysis bootstrap-confidence-intervals non-parametric-bootstrap-method
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Oct 11, 2023 - R
ASME V&V 40-style in-silico trial for a repurposed closed-loop hemodynamic device -- Windkessel virtual population, verified against analytical steady state, validated against real blood-pressure data
python scipy hemodynamics closed-loop-control medical-device in-silico-clinical-trial bootstrap-confidence-intervals regulatory-science verification-and-validation windkessel-model
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Aug 31, 2026 - Python
An operations-intelligence stack on 99,441 real e-commerce orders: star schema, an 18-configuration forecasting bake-off (GRU, LSTM, LightGBM vs statistical baselines), inventory cost simulation with bootstrap confidence intervals, revenue forensics, and a governed natural-language analytics agent.
data-engineering lstm gru lightgbm operations-research demand-forecasting supply-chain-analytics star-schema time-series-forecasting text-to-sql inventory-optimization bootstrap-confidence-intervals
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Aug 25, 2026 - Jupyter Notebook
Provider-neutral AI evaluation toolkit for reusable test cases, regression datasets, provider adapters, deterministic and LLM judges, agent trajectory and security evaluation, statistical analysis, quality/cost/latency trade-offs, online experiments, evidence guardrails, and release gates.
regression-testing evaluation-datasets model-evaluation effect-size online-experiments bootstrap-confidence-intervals ai-evaluation ai-testing trajectory-evaluation llm-evaluation llm-as-a-judge ai-security-testing agent-evaluation statistical-evaluation evaluation-harness evaluation-engineering judge-calibration evaluation-rubrics quality-cost-analysis ai-quality-gates
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Oct 2, 2026 - Python
An LLM-as-judge harness whose headline result is how much you should distrust it.
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Aug 25, 2026 - Python
UFC fight-outcome model benchmarked against the closing betting line, not against 50%. It matches the market and does not beat it.
python machine-learning scikit-learn ufc sports-analytics data-leakage bootstrap-confidence-intervals betting-markets
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Aug 7, 2026 - Python
An LLM-as-judge harness whose headline result is how much you should distrust it.
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Aug 24, 2026 - Python
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