Rao-Blackwell Theorem

[@Simaaaan]

Thank youuu❤️

[@whitehat3192]

Been meandering to find an American presenter. Tons of videos out there which flew over my head! Thank you.

[@Songvbm]

I love your channel and subscribed it. Contents are really helpful.

[@smitvshah]

Seriously helpful

[@giovania.valdrighi1562]

Very good explanation :)

[@michaeljagdharry]

You're amazing

[@akhileshmahajan9626]

Your voice is so awesome!

[@isskapilchandel]

Thanks

[@ginhuj]

Nice

[@Momonosuke321]

that's brilliant. the example could have been more clarifying if x=1 or any other non-zero value were used. thanks!

[@XBX1MASTER]

Were you talking to me?

[@陈卓-n2v]

Could I know if we set P(x=2), is that same way to solve?

[@ChoponHill]

why it has to be conditioning on a sufficient statistics?

[@jiaqili7954]

so cute!

[@snehasamanta1563]

Here x+y follows Poisson (2lamda)

[@mathetal]

Yes, I realized this after I already posted the video. I wrote a correction in the description box.

[@snehasamanta1563]

math et al that's good

[@danielescotece7144]

Couldn't we use the invariance property of MLE estimators?
And find that the estimator for exp(-lambda) is exp(-x_n)?

[@sagarnilbose7034]

Hey can you please tell me which unbiased estimator (plugging estimator) to take for the rao blackwellisation when the sufficient statistic is (T=Πxi) and xi's follow beta(θ,1) to estimate an improved unbiased estimator of θ.