statistical: videos

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1. 1▶Statistical Rethinking Lecture A10 - Hidden Confounds & Sensitivity AnalysisStatistical Rethinking 2026Notes
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2. 2▶Statistical Rethinking Lecture A09 - Modeling EventsStatistical Rethinking 2026Notes
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3. 3▶Statistical Rethinking 2026 Lecture A08 - MCMC and Item Response ModelsStatistical Rethinking 2026Notes
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4. 4▶Statistical Rethinking Lecture A07 - Good and Bad ControlsStatistical Rethinking 2026Notes
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5. 5▶Statistical Rethinking Lecture A06 - Elemental Confounds IStatistical Rethinking 2026Notes
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6. 6▶Statistical Rethinking 2026 Lecture B05 - Social Networks IIStatistical Rethinking 2026Notes
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7. 7▶Statistical Rethinking 2026 Lecture A05 - Estimands & EstiplansStatistical Rethinking 2026Notes
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8. 8▶Statistical Rethinking 2026 Lecture B04 - Group-level confounding and intro to social networksStatistical Rethinking 2026Notes
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9. 9▶Statistical Rethinking 2026 Lecture A04 - Categories and CausesStatistical Rethinking 2026Notes
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10. 10▶Statistical Rethinking 2026 Lecture B03 - Adventures in CovarianceStatistical Rethinking 2026Notes
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11. 11▶17.10.2024: Nonlinear Dimension Reduction – Connection to StatisticalMechanics (Part 1)Machine Learning and PhysicsNotes
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12. 12▶17.10.2024: Nonlinear Dimension Reduction – Connection to Statistical Mechanics (Part 2)Machine Learning and PhysicsNotes
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13. 13▶07.11.2024: Discriminative & Generative Methods: QDA, CART (Part 2)Machine Learning and PhysicsNotes
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14. 14▶15.10.2024: Course Intro to ML and PhysicsMachine Learning and PhysicsNotes
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15. 15▶15.10.2024: Linear Dimension Reduction – Principal Component AnalysisMachine Learning and PhysicsNotes
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16. 16▶22.10.2024: Nonparametric Density EstimationMachine Learning and PhysicsNotes
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17. 17▶22.10.2024: Cluster Analysis / Mean ShiftMachine Learning and PhysicsNotes
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18. 18▶31.10.2024: Cross-Validation, Double Descent (Part 1)Machine Learning and PhysicsNotes
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19. 19▶31.10.2024: Cross-Validation, Double Descent (Part 2)Machine Learning and PhysicsNotes
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20. 20▶05.11.2024: Statistical Decision Theory (Part 1)Machine Learning and PhysicsNotes
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21. 21▶[CS292F 2021 Spring] Statistical RL Lecture 15: Offline RL (Part IV) Uniform OPE (continues)StatRL Spring 2021Notes
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22. 22▶[CS292F 2021 Spring] Statistical RL Lecture 14: Offline RL (Part III) Uniform OPEStatRL Spring 2021Notes
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23. 23▶[CS292F 2021 Spring] Statistical RL Lecture 13: Offline RL (Part II) Curse of Horizon and MISStatRL Spring 2021Notes
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24. 24▶[CS292F 2021 Spring] Statistical RL Lecture 12: Offline RL (Part I) Offline Policy EvaluationStatRL Spring 2021Notes
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25. 25▶[CS292F 2021 Spring] Statistical RL Lecture 11: Linear MDPs (Part II) + Intro to Offline RLStatRL Spring 2021Notes
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26. 26▶[CS292F 2021 Spring] Statistical RL Lecture 10: Exploration in Linear MDPsStatRL Spring 2021Notes
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27. 27▶[CS292F 2021 Spring] Statistical RL Lecture 9: Exploration in Tabular MDPsStatRL Spring 2021Notes
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28. 28▶[CS292F 2021 Spring] Statistical RL Lecture 8: Linear BanditsStatRL Spring 2021Notes
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29. 29▶[CS292F 2021 Spring] Statistical RL Lecture 7: Exploration in BanditsStatRL Spring 2021Notes
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30. 30▶[CS292F 2021 Spring] Statistical RL Lecture 6: RL Algorithm III + Exploration IStatRL Spring 2021Notes
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31. 31▶[CS292F 2021 Spring] Statistical RL Lecture 5: RL Algorithm IIStatRL Spring 2021Notes
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32. 32▶[CS292F 2021 Spring] Statistical RL Lecture 4: MDP III and RL Algorithm IStatRL Spring 2021Notes
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33. 33▶[CS292F 2021 Spring] Statistical RL Lecture 3: MDP IIStatRL Spring 2021Notes
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34. 34▶[CS292F 2021 Spring] Statistical RL Lecture 2: MDP IStatRL Spring 2021Notes
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35. 35▶[CS292F 2021 Spring] Statistical RL Lecture 1: Intro and MDP basicsStatRL Spring 2021Notes
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36. 36▶STATS M254 - Stat Methods in Comp Bio (Spring 2024) - Lecture 15: diff expression; multiple testingUCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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37. 37▶STATS M254 - Stat Methods in Comp Biology (Spring 2024) - Lecture 14: non-linear dimension reductionUCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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38. 38▶STATS M254 - Stat Methods in Comp Bio (Spring 2024) Lec 13: Louvain and Leiden clustering; ARI & AMIUCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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39. 39▶STATS M254 - Stat Methods in Comp Bio (Spring 2024) - Lec 12 (K-means, hclust, Louvain clustering)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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40. 40▶STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 11 (ICA; K-means)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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41. 41▶STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 10 (NMF, PNMF)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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42. 42▶STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 9 (GLM-PCA; MDS)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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43. 43▶STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 8 (# of PCs; GLM)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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44. 44▶STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 7 (PCA continued)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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45. 45▶STATS M254 - Stats Methods in Comp Bio (Spring 2024) - Lecture 6 (principal component analysis)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
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46. 46▶CENG 465 - Intro to Bioinformatics - Profile Hidden Markov Models #2CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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47. 47▶CENG 465 - Intro to Bioinformatics - Position Specific Scoring Matrices #2, Hidden Markov Models #1CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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48. 48▶CENG 465 - Intro to Bioinformatics - Profiles, Position Specific Scoring MatricesCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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49. 49▶CENG 465 - Intro to Bioinformatics - Suffix Trees, Suffix ArraysCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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50. 50▶CENG 465 - Intro to Bioinformatics - Statistical Significance Computation Example, Suffix TreesCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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