Perfectly explained never expected online or recorded lecture to help me this much rather than reading 30 pages pdf my whole concept got clear in 30 mins Thank you so much sir 🥰
Sir your explanation is awesome❤️... You doing great job🤗 If possible please make the lecture series on this topic as like subjetive and frequentist prob., subjective prior dist.of a parameter, natural conjugate family of priors for a model, conjugate families for exponential family etc, Bayesian point estimation, Bayesian interval estimation, Bayesian testing of hypothesis, Bayesian computation etc... It will be very beneficial for Statistics Students🙏
Thank you Aliya for your lovely comment.. please share our channel link among other students of Statistics and encourage them to subscribe our channel for latest updates and more videos..
The biggest benefit of using the complex bayesian method appears to be that we get a distribution of the key parameter on the basis of just one sample, then where is the need for squared loss funtion of the parameter on the basis of multiple samples?
Excellently explained but I don't understand. My Query is stuck who decide prior distribution and on which basis. Any empirical example related to this all procedure???
This all depend upon past available data. For example In Indian subcontinent one can easily predict that the monsoon will arrive in Mid June since the past data support the prediction. I hope you get the topic.
You can attempt for Indian Statistical Services (ISS) exam conducted by UPSC.. or you can go for Data Analytics or state level exams related to Statistics.. if you are interested in teaching then clear NET exam.. also you can go for ARS exam..
This is THE most beautiful and awesome video on the entire internet for getting an introduction to Bayesian Inference. Legendary 🔥🔥🔥🔥🔥
Thank you for your support. Please share this channel among other Statistics students. Keep watching.
Perfectly explained never expected online or recorded lecture to help me this much rather than reading 30 pages pdf my whole concept got clear in 30 mins Thank you so much sir 🥰
Sir many many thanks for your explanation
Thank you, Professor for your it helped me in the Machine and deep learning subject.
I am in an IIT , believe me u got real "TECHING SKILLS"
Thank you for your support. Please share this channel among other Statistics students. Keep watching.
Thank you sir.. Waiting for this video only :)
best explanation ever
Sir your explanation is awesome❤️...
You doing great job🤗
If possible please make the lecture series on this topic as like subjetive and frequentist prob., subjective prior dist.of a parameter, natural conjugate family of priors for a model, conjugate families for exponential family etc, Bayesian point estimation, Bayesian interval estimation, Bayesian testing of hypothesis, Bayesian computation etc... It will be very beneficial for Statistics Students🙏
Already uploaded in the channel.. please go through the playlist.
Sir you are doing great job watched your entire statistical inference playlist it was awesome 👍👏
Thank you Aliya for your lovely comment.. please share our channel link among other students of Statistics and encourage them to subscribe our channel for latest updates and more videos..
@@statslearning Sure sir I will share this channel link to all my friends and try to help your channel grow 🙂
Probability and statistics
Of Btech 3rd sem CSE
Is very important for Machine learning
Superb explanation
Excellent lecture, Sir...!
Very nice explained 👍
Nice explanation sir❤
Thank u sir....❤️❤️❤️ For your efforts
Sir yeh topic itna hi h?
Hypothesis testing kab start kroge?
Please make a video on CLT, MP & UMP tests
Rao black theorem p koie video ha?
Similarities and differences of hypothesis testing and confidence interval ki video bana doo plz sir
Sir kindly make videos on Gibbs sampling and MH algorithm 🙏🏼
Sir i request you to please make a video on topic - complete sufficiency and how to find minimum variance unbiased estimator
Check playlist for method of finding MVUE
Sir also make a video on Rao Blackwell theorem.
The biggest benefit of using the complex bayesian method appears to be that we get a distribution of the key parameter on the basis of just one sample, then where is the need for squared loss funtion of the parameter on the basis of multiple samples?
hm to isse hi 2x pe dekh rhe h ...... bcz the reason know everone
Awesome
Thank you dear.. Keep learning!
Thank you sir. Great
Thank you for your support. Please share this channel among other Statistics students. Keep watching.
Please correct the definition of priori and posterior estimate.
Excellently explained but I don't understand. My
Query is stuck who decide prior distribution and on which basis.
Any empirical example related to this all procedure???
This all depend upon past available data. For example In Indian subcontinent one can easily predict that the monsoon will arrive in Mid June since the past data support the prediction. I hope you get the topic.
Sir also make a video on Rao Blackwell theorem.
I will upload new videos very soon.. subscribe the channel and share among other students as well
Plz sir bata de koie aise video ha jis ma rao black k bare ma sab concept ho
No dear.. abhi nahi hai..
@@statslearning sir bana de plz
Sir! relationship between MLE and method of moment
Thank you sir
🙄
Absolute loss function ka median kesay nikalty
Can anyone tell me.
What are the opportunities after doing Msc in statistics
Plz if u know reply 🙏
You can attempt for Indian Statistical Services (ISS) exam conducted by UPSC.. or you can go for Data Analytics or state level exams related to Statistics.. if you are interested in teaching then clear NET exam.. also you can go for ARS exam..
Sir note of that lecture chahiye
Please next time show us in English
Sir aapke yha paid batch h kya
No..
Definition of bayesian estimation ? Any one know the perfect Definition
wtf
what is this so difficult !