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- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 16: reviewUCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 15: linear mixed modelUCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- STATS 205 - Hierarchical Linear Models - Lecture 14: zero-inflated count regression; random effectsUCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- 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
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 13: quasi-Poisson/neg binomial regressionUCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 12 (binary response, Poisson regression)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 11 (score, LRT, Wald test; GLM inference)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 10 (IRLS; goodness of fit of GLM)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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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- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 9 (Iteratively Reweighted Least Squares)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- 2024 04 29 Stats 102BSTSNBs2024Notes
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- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 8 (Newton-Raphson; Fisher scoring)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- 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
- 2024 04 22 Stats 102BSTSNBs2024Notes
- STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 7 (GLM exponential family)UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)Notes
- STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 7 (PCA continued)UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)Notes
- 2024 04 19 Stats 102BSTSNBs2024Notes
- 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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- Stats 102A - Self Quiz AnswersSTSNAs2024Notes
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