17. Bayesian Statistics

[@sobhhi]

I been studying and working with mathematical statistics for almost 10 years. This is the first time I actually understand (intuitively) what the Bayesian approach is

[@Eizengoldt]

Explain

[@sobhhi]

@@Eizengoldt Explain what...?

[@Eizengoldt]

@@sobhhi what is the bayesian approach

[@sobhhi]

@@Eizengoldt The guy made a whole 2 hour lecture about it. I don't know if I can so simply collapse it for you into a KZbin comment. But if I had to: It's introducing "out of data information" to bias the solution of statistical estimation. The hope is that with good information, you can find a better solution than if you only used the data.

[@JCResDoc94]

39:05 This is it. Weighting definitions are where the magic lies.

[@jacobm7026]

*Student: Professor, can you write a little bigger so we can see? *Professor: It might be the board. Let me just change this blackboard to a whiteboard really quick. This eraser should help.

[@JCResDoc94]

1:02:00 Gaussian Inference w/Bayesian Methods

[@BilalAhmed-ib3yw]

Thanks! man

[@هشامأبوسارة-ن7و]

A great lecture. At 38.58 he should have said Likelihood of observing the data given that the data is distributed according to parameters theta

[@subarnasubedi7938]

Exactly thanks !

[@jakobandersson5605]

Great lecture and a great eraser! Could totally still see after he used that

[@programminginterviewsprepa7710]

Why cant all professors teach that good? Why did we need to suffer until this lecture?

[@ugowhereiwent]

Crazy, we estimate the probability of the mind. Bad that I don't already know the language. More homework if too much free time is a good way to progress. I like it. Means we should know where to put our mind to. There never should be too much. There is always more. Thanks...

[@lazywarrior]

Beta distribution can be bimodal when both a and b are less than 1.

[@Jahu-qs2us]

I updated my knowledge on bayesian statistics :)

[@prattzensings]

What's your posterior then? ;)

[@drazensvec3886]

when you have to pee with prior belief that you don't know why you put a pie or where it is then the best approach is to squared it with iid. p.s. don't forget to include pmf/pdf.

[@kevinshao9148]

Would you please explain more, 1:01:06, why expectation not average? for beta(a,b) the expectation is average.

[@chitrabisht5836]

Many Thanks Prof.

[@lazywarrior]

He basically can write with the eraser instead!

[@Artnotforthesakeofart]

😅

[@jk382jk]

43:42 MCMC

[@jieyong0731]

interesting to see you here..

[@haipingwang7075]

This is at least my third time to watch this video, barely I feel I learned clearly. Thanks Lord!

[@meltedbrains1]

Was anybody else screaming out "LIKELIHOOD" at 38:45??

[@juniorchancel943]

Very good content to understand Bayesian inference. Thanks prof.

[@fktudiablo9579]

as a French, I really appreciate his English accent (too much "you know" tho)

[@barcadna]

It's not English as in "England".

[@reinerwilhelms-tricarico344]

this fancy new automated camera following the professor gives me a vertigo.

[@rohitdas475]

Haven't started.. Thanks already :)

[@mesplin3]

How would something like a Bayes factor relate to a prior distribution?

[@thebrokeconomist6538]

43:20 goes hard as fuck 💯💯💯😤😤👊👌 Now I finally can understand what is going on when i'm using BayesFactor

[@Quantdummy]

Whats the probability that duster makes the board worse 😮

[@not_amanullah]

this is helpful ♥️🤍

[@not_amanullah]

thanks ♥️🤍

[@economicriskcapitalmodelpr9849]

excellent lecture.thanks a lot

[@enricoiraldo9057]

not the best MIT professor in terms of clarity but still amazing lecture

[@haocqiu893]

These videos are helpful, but can't see lecture 16?

[@mahmudshamim1437]

MIT should invent a better quality borad cleaner. Its hard to read the writngs on the board when it is cleaened.

[@venkateshramakrishnan9879]

what is c-cell ?

[@johnweistein8356]

It is much easier using a discrete random variable X to explain the posterior probability.

[@miodraglovric5093]

Beta distribution may be bimodal when both parameters are less than 1, and the curve is U shaped. Why they don't use whiteboards but these ugly blackboards?

[@AssortedMeatss]

Zdravo!

[@senselessnothing]

Unless you think of probability as belief in bayesian statistics, the whole framework makes no sense. Statistics aids human epistemology, it's not a replacement for it, even a UMP test result can be rejected as a definite method of learning on other relevant grounds.

[@iirolenkkari9564]

Great lecture. Does anyone have good book tips about bayesian data analysis on longitudinal and time series data structures with R/Jags? More specifically, I have a case with several subjects and several observations within the subjects. In another case I only have one subject. In both cases, the consecutive observations are supposedly time-related.

[@BlinkDrive555]

Can you just stop walking while you are talking because the camera kept panning, it made me feel headache

[@antonioruotolo6014]

difficult to follow explanation an difficult to see 'foggy' blackboard

[@leusmaximusx]

why does a professor today still waste time writing lectures on greenboards , instead commenting on greenboards the students impressions ?

[@Rmpslb]

Camera man terrible.

[@ikebipe]

Fucking terrible

[@Gruemoth]

The duster does the opposite of erasing 🤣

[@karannchew2534]

One third into the lecture, I'm lost.

[@eugeneku3239]

He looks a lot like Thomas Bayes.

[@MM-du7je]

joe derosa teaches stats?

[@chuzai2156]

Finally，firstly time in this course saw so many cleaner writing XD. Eraser is horrible!!

[@jessicarey8154]

I know that chalk...

[@anubhav2687]

~21:45 0.52 is zero point five two, not point fifty two.---- basic mathematics.

[@princegupta-ck7vt]

ab tu math sikhayega

[@morganhalle9905]

You understood what he meant to the exact precision intended, and so did everyone else. Ridiculous pedantry helps nobody.

[@mckaylahephzibah8045]

Dude he french. zero virgule cinquante deux. he is translated directly.

[@adhoc3018]

Omg dude, you're so smart!

[@shauncrawford5575]

wow ..people really still spending 100k a year to listen to this nonsense.