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39 - The gamma distribution - an introduction

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This video provides an introduction to the gamma distribution: describing it mathematically, discussing example situations which can be modelled using a gamma in Bayesian inference, then going on to discuss how its two parameters affect the shape of the distribution intuitively, and finally ending with a derivation of the mean of the distribution.
If you are interested in seeing more of the material, arranged into a playlist, please visit: • Bayesian statistics: a... Unfortunately, Ox Educ is no more. Don't fret however as a whole load of new youtube videos are coming soon, along with a book that accompanies the series: www.amazon.co.... Alternatively, for more information on this video series and Bayesian inference in general, visit: ben-lambert.co... For more information on econometrics and Bayesian statistics, see: ben-lambert.com/

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21 авг 2024

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Комментарии : 49

@brucelam115 5 месяцев назад

Dude, THIS is the kind of education worth paying for, not whatever my professors are doing

@diyasharma96 4 года назад

Superb. Thank you for giving me the intuitive understanding that I needed in just 14 minutes (was watching at 1.25x). The stuff in other places was so dense as to be practically counterproductive; I pored over "recommended" texts for hours before a search online led me to this beauty. Very very grateful for your generosity. Two important points: [1] At 08:16, I'm pretty sure you meant to say "Y" instead of "lambda". I don't know why nobody's pointed this out for 6 years. If I'm not wrong, perhaps you could add a simple note / annotation at that point on the video so that others don't get thrown by that minor blip in an otherwise superlative effort. [2] The freehand graphs, especially the one for alpha = 3, didn't seem very reliable. So it gave me a lot of confidence to see the MATLAB projections. Please never stop using those!

@imrannooraddin1876 7 лет назад

What the fuck is going on

@mkrcy 2 месяца назад

@alitaha1200 Месяц назад

one must imagine sisyphus happy

@Robertfrench3364 9 лет назад

Thanks for the video! The textbook I have been using covers the expected value for gamma far too quickly. You really laid it out and made it easy to comprehend!

@nickhead2481 9 лет назад

Brilliant explanations - thanks a lot! Can you take over from my uni lecturers please?

@observever7808 3 года назад

AWESOME, no crap, straight to what we need to know!

@nasgaroth1 3 года назад

Man, this guy explain nothing, simply theoretical crap. Where is an example, some information from practice ? Nothing simply theoretical shit

@katyadimitrovapetrova9343 7 лет назад

omg I was struggling with this gamma distribution for a week now. thanks!

@brockobama257 2 года назад

No way I clicked on this video expecting shitty audio but you sound fantastic. Very rare very rare…

@anthonyfernandezgonzalez8262 Год назад

Thank you so much, great lesson!

@dARKf3n1Xx 4 года назад

gotta like this, so new updated explanation can come :P

@Coughi3 Год назад

thank you very much, great video and explanation

@jacobherz9454 4 года назад

love the way he says beeta

@TheDantsu 9 лет назад

Best explanation ever. Thank you.

@atewary3101 4 года назад

Im confused. When changing values of alpha, you say anything not a function of y cancels out- you take the Beta^alpha part out. When changing values of Beta, you keep the Beta^alpha bit in? This still is not a function of y.

@dursundurmaz915 5 лет назад

Really helpfull, clear english, great expression

@lazy_hiker_guy 9 лет назад

If this is Ben Lambert, then why didn't you post this video on your page as well? Would have been easier for us since it would reduce the search time. Btw your videos are a life saver.

@mo8144 3 года назад

Brilliant explanation !!!

@yassine20909 2 года назад

Excellent explanation, thank you

@basilkjeemon196 3 года назад

brilliant explanation

@AronBattistella 4 года назад

That was a great explanation. Thank you!

@fo89jsafglpwo 7 лет назад

Hey its good explanation, thanks budd, I can now understand what the actual fuck is going on. But there's one question, shouldn't the Beta be replaced in the p.d.f. by 1/Beta? Since when the parameter Beta increases, the change in specific p.d.f. should be exactly the opposite of your graph. **update Sorry I was wrong. It's just different presentation of the parameter. Thanks!