Видео

great lecture sir !! I am reading your book also . So proud of you from India😇

sir can you tell me where i can find video for joint density and joint gaussian random variable

extremely good lecture

sir can I get your lecture notes as the link above in bio isn't opening.

Nive video and well explained. Can I please have a video on independent and identically distributed random variables

sir please do lectures on your book Probability and Stochastic Processes also, I shall be thankffull

So how do you actually get the prolate spheroidal function solutions?

A huevo, sí hay estimador insesgado para la desviación estándar

Great video and gives a very clear explanation of which limits to use, how to find the dividing line etc - many other lectures assume you know that stuff already

if you are coughing throughout, it's better not to attend the class. First you might be transmitting it to others and second you are ruining this gold video plus disturbing thousands of viewers from learning

At 27:14, it should have been d/du(dY/dt).du/dt = ... ... Middle term should be dY/du and not dY/dt, as I have there, although the error is fixed in the next step.

Thanks a lot Professor Pillai , please kindly upload a video for the derivation of signal to noise ratio in FM system , and why FM is better than AM , thanks and best regards .

one of the greatest explanations I have ever seen. I bout his book on random. variables and stochasitc processes so these lectures have been of great assistance. Thanks you for your contributions to students internationally Dr. Pillai🎉🎉

Amazing Lecture !

At 58:11 - 58:58 the negative sign outside the middle term should have been a +. That mistake is corrected later at 1:02:27

Dear Professor Pillai , have a good day , please could you kindly upload a video for signal to noise ratio derivation in analog FM & AM systems , indicating why FM is more better reception than AM , thanks and best regards

Thank you Professor Pillai for the video! Could I ask two quick questions: why can you replace the x in f_xy(x, y) with yz (time 2:40 ), and also why can you move the z^{a-1) out of the integral (time 4:24 ) if z depends on x and y? Maybe my mistake is that I am mistaking the rv's X, Y, and Z with the density function inputs x, y, and z.

Thank you Professor Pillai , eager to watch more videos , really helpful. God bless you

Can you recommend textbooks for embedded stochastic processes? I am a Grade 12 student. I know Probability Theory, Measure Theory, Linear Algebra, Boolean Algebra, and a litle bit of other fields like Graph Theory. I am currently studying Time Series Analysis as part of my research. I encountered stochastic processes, but I think they are just random walks. Also, my research is about utilizing the leftover prediction error from any non-stationary Time Series Models. The error can be commonly approximated by a Gaussian. I will then use parametric estimation and the inverse of the inverse transform to turn it into uniform. I will then binarize this uniform distribution. Finally, I will use Bayesian Inference in Binary. Basically, I am manipulating conditionals and assuming independence to simplify my equations. Well, I don't really know if this is already done though, so I am stilll a bit worried.

I have a problem with stationarity and ergodicity. People in the stackmathexchange and even wikipedia can't seem to agree. I also don't understand ergodicity. Can I get your views on this? Thanks.

It is always treat to listen to your lectures. Very nicely gibbs overshoot, phenonmenon accepted. But it occurs in Only discontinuous functions. No matter where you truncate Your fourier series it will occur.

Ars you going to upload the rest of the lecture ? Looking forward to more lecture videos.

Thanks a lot Professor Pillai , please we need more videos on communications and digital communications

Very clearly explained, Thank you sir

Dear Professor Pillai , have a good day , please could you kindly upload new video series in Stochastic processes and communication engineering , we like these videos , great explanation from you , thanks and best regards

The teacher is very good. I like the speed

Nice try to understand students

Dear Professor Pillai , have a good day , please could you kindly upload new video lectures specially on Stochastic processes , thanks and best regards

Thank you, Professor for your great contents.

Hi, thank you very much for this valuable lesson. I have a question that I would be grateful if you would answer: How do you make the conclusion that you need to maximize the posterior? Shouldn't we consider maximizing the overall integral? Also one last question, when we define the cost R, we do not have a parameter of selection but just a summation of different costs. How did we determine that we need to select some i over another? I would be really grateful if you could elaborate on these parts a little.

It's a very good video. Thank you sir

oh!!!! my God who is pillai.I was so exited about him .100% confidence .teaching as a simple task for him wawwwwwwwwwwwwwwwwwwwww

Sir warping space time

Thank you sir

Thank you sir

Studying one day before exam....grt explanation...what a legend

Waos😮

Dear Professor have a good day , please could you kindly upload any new lectures of the topics you teach , we really like the mathematical derivation during explaining the material , thanks and best regards

If theta is constant then what is the meaning of dtheta inside the integration?

Thank you for this video, it was very helpful. I'd like to read more on this subject. Is there a name for this distribution ? Papoulis and Pillai (2002) says that the Nakagami distribution is a generalization to the Rayleigh distribution. However the PDFs are different. And wikipedia says that the Noncentral chi distribution is the generalization of the Rayleigh distribution, but the PDF still doesn't match the one from the video.

My professor made me sleep in the class when he taught us about this topic. It was so boring. I'm really glad I found this on RUclips. 33' RUclips lecture >>>>>>>> 4hrs class lecture. Mad Respect, sir!

can you provide the link to the notes or mention the name of the book?

24:45 why is it z/2?

question please is there a video about the varianz of non indepedent variables

ruclips.net/video/xxpLVtMF_Hg/видео.html

Dear Sir, How are you? I hope you are doing good. I have recorded very first video in which I am demonstrating construction of trigonometric table. I will feel good if you watch the video.The link is ruclips.net/video/xxpLVtMF_Hg/видео.html

I have not met a probability professor this good. His first principle approach to questions is amazing.

Hello Professor Pillai, I think at 22:20 the second term should be RxyRyy^{-1}R*xy, instead of R*xyRyy^{-1}Rxy.

Dear Sir I want to learn convolution theorem that you use in solutions of distribution functions

덕분에 과제했습니다 thx