JSB UCLA
Publishes 4 feeds
UCLA STATS 203 - Large Sample Theory (Fall 2020) by Jingyi Jessica Li
15 posts · theirs
UCLA STATS 205 - Hierarchical Linear Models (Spring 2024)
15 posts · theirs
UCLA STATS 203 - Large Sample Theory (Fall 2021) by Jingyi Jessica Li
15 posts · theirs
UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024)
10 posts · theirs
Lately
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 16: review
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 15: linear mixed model
STATS 205 - Hierarchical Linear Models - Lecture 14: zero-inflated count regression; random effects
STATS M254 - Stat Methods in Comp Bio (Spring 2024) - Lecture 15: diff expression; multiple testing
UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024) ·
STATS M254 - Stat Methods in Comp Biology (Spring 2024) - Lecture 14: non-linear dimension reduction
UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024) ·
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 13: quasi-Poisson/neg binomial regression
STATS M254 - Stat Methods in Comp Bio (Spring 2024) Lec 13: Louvain and Leiden clustering; ARI & AMI
UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024) ·
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 12 (binary response, Poisson regression)
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) ·
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lec 11 (score, LRT, Wald test; GLM inference)
STATS M254 - Statistical Methods in Computational Biology (Spring 2024) - Lecture 11 (ICA; K-means)
UCLA STATS M254 - Statistical Methods in Computational Biology (Spring 2024) ·
STATS 205 - Hierarchical Linear Models (Spring 2024) - Lecture 10 (IRLS; goodness of fit of GLM)
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