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 sebastianraschka.com
Model evaluation, model selection, and algorithm selection in machine learning
| | hbiostat.org
5 Describing, Resampling, Validating, and Simplifying the Model - Regression Modeling Strategies
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| | ddarmon.github.io
MA 151-02 Statistics with Applications (Fall 2019)
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| | magazine.sebastianraschka.com
Tips for LLM Pretraining and Evaluating Reward Models
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| | I'm an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, with roles including senior staff at an AI company and a statistics professor. My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations.
| | hbiostat.org
Equivalence of Wilcoxon Statistic and Proportional Odds Model - Statistical Thinking
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| In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided.