Media Summary: Parametric confidence intervals and prediction intervals Teaser for conformal prediction. Gauss-Markov theorem Generalized Least-Squares (GLS) The ensemble view --- abstract meaning of confidence intervals (CI), p-values, hypothesis testing (HT), etc. Concrete construction ...

Stats 100c Linear Models Spring - Detailed Analysis & Overview

Parametric confidence intervals and prediction intervals Teaser for conformal prediction. Gauss-Markov theorem Generalized Least-Squares (GLS) The ensemble view --- abstract meaning of confidence intervals (CI), p-values, hypothesis testing (HT), etc. Concrete construction ... Special cases of the F-test: ANOVA, One-way classification, etc. Split conformal prediction in depth Proof that it gives correct (marginal) coverage Difference between marginal and conditional ... 00:00 Recap Hypothesis testing 03:00 Recap p-values -- power 08:15 CI for

00:00 Recap of theorem on QF 02:15 Proof of the theorem \ P y\ ^2 \sim \chi^2_r 32:15 Example/exercise 34:00 Cochran's ... Do you want to take a class with me? Visit to register for a class. You can either do "live" classes, where you'll ...

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STATS 100C: Linear Models -- Spring 2026: Lecture 15 / Leverage, influence, and diagnostics
STATS 100C: Linear Models --- Spring 2026 - Lecture 9
STATS 100C: Linear Models --- Spring 2026 - Lecture 13: Gauss-Markov and GLS
STATS 100C: Linear Models -- Spring 2026 -- Lecture 8 (Afternoon)
STATS 100C: Linear Models -- Spring 2026 -- Lecture 11
STATS 100C: Linear Models --- Spring 2026 - Lecture 12
STATS 100C: Linear Models -- Spring 2021 -- Lecture 1
STATS 100C: Linear Models -- Spring 2026:  Lecture 14 / Multicollinearity, PCA, VIF and Shrinkage
STATS 100C: Linear Models --- Spring 2026 - Lecture 10: Split conformal prediction
STATS 100C: Linear Models -- Spring 2021 -- Lecture 11
STATS 100C: Linear Models -- Spring 2021 -- Lecture 17
STATS 100C: Linear Models -- Spring 2021 -- Lecture 16
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STATS 100C: Linear Models -- Spring 2026: Lecture 15 / Leverage, influence, and diagnostics

STATS 100C: Linear Models -- Spring 2026: Lecture 15 / Leverage, influence, and diagnostics

Okay so if I if I remove um see the the

STATS 100C: Linear Models --- Spring 2026 - Lecture 9

STATS 100C: Linear Models --- Spring 2026 - Lecture 9

Parametric confidence intervals and prediction intervals Teaser for conformal prediction.

STATS 100C: Linear Models --- Spring 2026 - Lecture 13: Gauss-Markov and GLS

STATS 100C: Linear Models --- Spring 2026 - Lecture 13: Gauss-Markov and GLS

Gauss-Markov theorem Generalized Least-Squares (GLS)

STATS 100C: Linear Models -- Spring 2026 -- Lecture 8 (Afternoon)

STATS 100C: Linear Models -- Spring 2026 -- Lecture 8 (Afternoon)

The ensemble view --- abstract meaning of confidence intervals (CI), p-values, hypothesis testing (HT), etc. Concrete construction ...

STATS 100C: Linear Models -- Spring 2026 -- Lecture 11

STATS 100C: Linear Models -- Spring 2026 -- Lecture 11

General

STATS 100C: Linear Models --- Spring 2026 - Lecture 12

STATS 100C: Linear Models --- Spring 2026 - Lecture 12

Special cases of the F-test: ANOVA, One-way classification, etc.

STATS 100C: Linear Models -- Spring 2021 -- Lecture 1

STATS 100C: Linear Models -- Spring 2021 -- Lecture 1

Review of

STATS 100C: Linear Models -- Spring 2026:  Lecture 14 / Multicollinearity, PCA, VIF and Shrinkage

STATS 100C: Linear Models -- Spring 2026: Lecture 14 / Multicollinearity, PCA, VIF and Shrinkage

... so if it's best in this

STATS 100C: Linear Models --- Spring 2026 - Lecture 10: Split conformal prediction

STATS 100C: Linear Models --- Spring 2026 - Lecture 10: Split conformal prediction

Split conformal prediction in depth Proof that it gives correct (marginal) coverage Difference between marginal and conditional ...

STATS 100C: Linear Models -- Spring 2021 -- Lecture 11

STATS 100C: Linear Models -- Spring 2021 -- Lecture 11

00:00 Recap Hypothesis testing 03:00 Recap p-values -- power 08:15 CI for

STATS 100C: Linear Models -- Spring 2021 -- Lecture 17

STATS 100C: Linear Models -- Spring 2021 -- Lecture 17

...

STATS 100C: Linear Models -- Spring 2021 -- Lecture 16

STATS 100C: Linear Models -- Spring 2021 -- Lecture 16

00:00 Recap of theorem on QF 02:15 Proof of the theorem \| P y\|^2 \sim \chi^2_r 32:15 Example/exercise 34:00 Cochran's ...

Understanding Generalized Linear Models (Logistic, Poisson, etc.)

Understanding Generalized Linear Models (Logistic, Poisson, etc.)

Do you want to take a class with me? Visit https://simplistics.net to register for a class. You can either do "live" classes, where you'll ...