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 www.huber.embl.de
Modern Statistics for Modern Biology - 4 Mixture Models
| | andrewpwheeler.com
Group based trajectory models in Stata - some graphs and fit statistics | Andrew Wheeler
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| | For my advanced research design course this semester I have been providing code snippets in Stata and R. This is the first time I've really sat down and programmed extensively in Stata, and this is a followup to produce some of the same plots and model fit statistics for group based trajectory statistics as this...
| | sebastianraschka.com
Model evaluation, model selection, and algorithm selection in machine learning
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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.
| | cyclostationary.blog
SPTK: Random Variables - Cyclostationary Signal Processing
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| | Our toolkit expands to include basic probability theory.
| | mkatkov.wordpress.com
On the density estimation | Crackpot Trisector Notes
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| For probability space $latex (\Omega, \mathcal{F}, \mathbb{P})$ with $latex A \in \mathcal{F}$ the indicator random variable $latex {\bf 1}_A : \Omega \rightarrow \mathbb{R} = \left\{ \begin{array}{cc} 1, & \omega \in A \\ 0, & \omega \notin A \end{array} \right.$ Than expected value of the indicator variable is the probability of the event $latex \omega \in...