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This is the best explanation I have found on this subject, no one else has managed to present it with equivalent clarity and detail.Thank you.
Thank you so much, you are the only person I have seen who has presented and explained it so clearly.
Good evening sir It's really superb,It's very excellent explanation to useful our research work, and kindly post many vedios in prior distribution Thank you very much sir .
Best lecture on these topic and make conceptual ,with very easy to explain all those thinks .thankyou sir
You sir are a life saver. Thank you for this video!
wonderful , method of explaining , Allah bless you sir
Very useful explanation..Thankyou!
Thank you for this great explanation.
best explanation i've heard
excellent explanation
great explanation
hello sir, how did you end up with the gamma distribution please?
because the end posterior distribution resembles a gamma distribution, where what he wrote were the paramaters of the resembled gamma distribution
why do we do integration ? what exactly it means ?
because the parameter is defined continously eventho the binomial function of x is discrete
sound is not available
one lecture on Weighted inverse rayleigh dist , please
🙏🏿
This is the best explanation I have found on this subject, no one else has managed to present it with equivalent clarity and detail.
Thank you.
Thank you so much, you are the only person I have seen who has presented and explained it so clearly.
Good evening sir It's really superb,
It's very excellent explanation to useful our research work, and kindly post many vedios in prior distribution Thank you very much sir .
Best lecture on these topic and make conceptual ,with very easy to explain all those thinks .thankyou sir
You sir are a life saver. Thank you for this video!
wonderful , method of explaining , Allah bless you sir
Very useful explanation..Thankyou!
Thank you for this great explanation.
best explanation i've heard
excellent explanation
great explanation
hello sir, how did you end up with the gamma distribution please?
because the end posterior distribution resembles a gamma distribution, where what he wrote were the paramaters of the resembled gamma distribution
why do we do integration ? what exactly it means ?
because the parameter is defined continously eventho the binomial function of x is discrete
sound is not available
one lecture on Weighted inverse rayleigh dist , please
🙏🏿