Sometimes I wonder why I am still going to school when I can just watch Ben Lambert's video.
@alanpereira75224 жыл бұрын
Paying 9k year for University and here I am
@ronak2267 жыл бұрын
the videos are amazing ! This is Quality content ! Great Work !
@RealMcDudu4 жыл бұрын
I think the numerator has to be beta* - beta_true, because the t distribution requires a standard normal distribution in it's numerator.
@kottelkannim49194 жыл бұрын
In hope I am not misleading you, I guess it is the STANDARD t-distribution which requires a STANDARD normal R.V. populating the numerator (*). What I do not fully get is how beta* , defined as "a value we got from our LS estimators", serves as a statistic. I think it should be beta_LS_{hat}, much like denominator which contains a statistic. But then again, I do not completely follow the lecturer's intention using this notation. (*) www.statlect.com/probability-distributions/student-t-distribution
@benjaminschatz43503 жыл бұрын
Hey someone could explain to me why we don't use the estimation of var(Beta ls) to approximate the distribution of Beta hat instead of creating a t distribution ?
@danxie30185 жыл бұрын
whats the difference between beta_star and beta_hat?
@totochandelier4 жыл бұрын
beta star is the application of beta hat on a particular sample . For one beta hat, you should have several beta star: one by sample . beta star is a number , beta hat is the ols estimator .
@totochandelier4 жыл бұрын
if N is great enough, why don t we use a normal N(beta_true, sigma_tilda_square) for inference ?
@kottelkannim49194 жыл бұрын
What is sigma_tilda_square?
@littlerainyone9 жыл бұрын
Question orthogonal to the video content: may I ask what sort of device you use for the screencasts? I plan to do some on-line tutoring and I have a Wacom tablet, but I find it quite difficult to write legibly with the Wacom pencil. It just isn't the same as paper. May I ask what you use? (I've already told you this, by the way, but the videos are fabulous).
@rodguinea4 жыл бұрын
I was learning string theory and here I am (i.e. I ALWAYS end up in this channel lol)