@SeikoVanPaath
Timestamps: 0:02:40 Overview 0:29:10 Ordinary Least Squares (OLS) Estimates 0:45:54 Gauss-Markov Theorem 0:54:47 Generalized Least Squares (GLS) Estimates 0:58:17 Normal Regression Models 1:19:25 Maximum Likelihood Estimation
@phillustrator
This lecture convinced me that no amount of money you pay will guarantee you good teachers.
@lessmoneylessproblems5145
Holy, who knew that linear regression could get so complex.
@Sps27
I think the comments are being a bit unfair to Dr. Peter Kempthorne. Sure, many people prefer blackboard teaching, and Dr. Choongbum Lee is undeniably an excellent lecturer, but different instructors have different strengths. Dr. Peter is a highly accomplished expert, and his ability to clearly explain complex topics, like SVD in the Linear Algebra lecture during Dr. Choongbum's class, is proof of that. This is an undergrad course, and not everyone comes in with a strong background, so it makes sense to build foundational understanding first. Also, using slides doesn’t make someone a bad lecturer, it’s just a different teaching style and perhaps more ergonomic for him at his age. Let’s appreciate the diversity in approaches rather than tearing one down.
@caverac
@30:30 There's a mistake in the slides: the last term in the sum should be \beta_{p}, not \beta_{i,p}
@liuauto
The slides ruined the lectures. This is a math course. Writing on the board can save more time than talking and hand waving
@topmostanalyst
Awesome content at least my knowledge of matrices and statistics has been broadened on a larger scope. Thanks.
@SergeiIakhnin
Good content, but should have really been handled in two lectures. A lot of time is spent on the basics, and then all of the more advanced details are simply glossed over due to a lack of time.
@SphereofTime
8:00 General linear model
@SphereofTime
56:00 GLS Estimator
@валерийсоколов-п4я
Excellent lecture
@KARAB1NAS
This a good example of how a course in maths should not be. Especially the notation is so dodgy - Random matrix X is referred to the matrix of realizations of X all the time. Ridiculous
@gustavobolssonbilibio370
arggggg he knows how to read slides.
@CaseyVanBuren
These slides seem riddled with mistakes, indices are lost or flipped or added where they shouldn't be. I was expecting more from MIT
@fustilarian1
I miss Choongbum. This guy shouldn't be allowed to teach -.-
@joem8251
uh...
@user-bt7u12gh5
52:07 another typo? shouldn’t it be E[f’y]=f’E[y]?
@chunlangong2214
All his slides are in the textbook. Why the students in the classroom?
@danielduranloosli
That was a brutally dense lecture with almost no real-life analogies. At that pace, you would need to be a linear algebra god to actually have the time to think about the statistical interpretations and applications of the expressions you are following. Also, no use of much-needed graphs or technology whatsoever.
@zhuangjiwang5392