Detecting Data Differences Using the Sphering Transform Detecting Data Differences Using the Sphering TransformBy Nina ZumelAugust 20, 2023 “Why do we want to sphere-transform our data? One reason is that
What I Read: Contextual Bandit, LinUCB:
https://truetheta.io/concepts/reinforcement-learning/lin-ucb A Reliable Contextual Bandit Algorithm: LinUCBDJ RichAugust 6, 2024 “A user visits a news website. Which articles should they be shown?”
What I Read: decision analysis, significance testing
https://statmodeling.stat.columbia.edu/2024/07/10/a-misunderstanding-about-decision-analysis-and-significance-testing (Trying to) clear up a misunderstanding about decision analysis and significance testingAndrew Gelman7/10/24 9:03 AM “…we’re just saying that screening based on statistical significance has lots of problems. P-values
What I Read: Logarithms, Heteroskedasticity
https://allendowney.substack.com/p/logarithms-and-heteroskedasticity Logarithms and HeteroskedasticityAllen DowneyMay 26, 2024 “A log transform is neither necessary nor sufficient to fix heteroskedasticity”
What I Read: Kalman Filter
https://www.youtube.com/watch?v=-DiZGpAh7T4 Kalman Filter – VISUALLY EXPLAINED!Kapil Sachdeva “This tutorial explains the Kalman Filter from Bayesian Probabilistic View and as a special case of Bayesian Filtering.”