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Renewable Energy Optimization Under Uncertainty
Renewable-energy optimization is a constrained stochastic control problem involving generation, storage, transmission, demand, uncertainty, and market rules.
Read articleManaging Data Science Under Uncertainty
Data science and engineering both contain uncertainty. The useful management distinction is between discovery risk, implementation risk, and operational risk...
Read articleMathematics for Machine Learning: What Each Tool Is For
Machine learning rests on linear algebra, calculus, probability, statistics, and optimization, but each mathematical tool matters because of the structure it...
Read articleMann-Whitney U Test: What It Actually Tests
The Mann-Whitney U test compares pairwise ordering between two independent distributions. It is not automatically a test of medians or a fallback whenever no...
Read articleContinuous and Binary Variables: Correlation and Regression
A binary variable and a continuous variable can be related through mean differences, point-biserial correlation, regression, or latent-threshold models. The ...
Read articleLinear Probability Models vs Logistic Regression
The linear probability model and logistic regression target the same conditional event probability through different functional forms. The choice depends on ...
Read articleMann-Kendall Trend Test: Assumptions and Pitfalls
The Mann-Kendall test detects monotone association with time, but serial dependence, seasonality, ties, change points, and irregular sampling must be handled...
Read articleNatural Language Processing: Models, Tasks, and Evaluation
Modern NLP ranges from classical token-based models to pretrained transformers and language models. The core challenges remain representation, evaluation, do...
Read articleCoverage Probability in Statistical Inference
Coverage probability is a property of an interval procedure under repeated sampling. Nominal coverage, conditional coverage, prediction coverage, and calibra...
Read articleStepwise Regression: Why Automatic Selection Is Fragile
Stepwise regression is an unstable search procedure, not a general cure for overfitting. Model specification should follow the prediction or inference target...
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