The best introduction I have heard so far. You have encompassed all the core aspects of estimation theory, in a simple, clear and captivating manner in English. I hope you continue to deliver more such insightful lectures for broader awareness. Thank you.
Thank you for your kind words of appreciation Amol ji. Sorry for the delay in my response though. I hope to capture these and lectures on other topics close to my heart in the forms of books for posterity.
@@appliedtime-seriesanalysis7076 That would be great Sir. I don't know if you have published the books already but I'll be on the lookout for these books.
Being a maths students aspiring JAM stats initially I was kind of afraid that if it will help with my syllabus. It was my best time investment of today. This topic was giving me hard time since a week. I don't know what is your name sir. But honestly.. you are one of the most graceful and expressive teacher I have learnt from. It was for the first time I knew why I am studying estimation. Thank you from the bottom of my heart sir. Live long ☺️
Thank you Dubey ji for the kind words of appreciation. My name is Arun Tangirala. Btw, I mentioned in the talk that I intend to offer a separate course on Parameter Estimation. That finally happened in 2020 (amidst all the pandemic chaos) wherein I could teach a full-semester (introductory) course on "Parameter and State Estimation". Hoping to record the next edition of this course and release it on UA-cam soon.
Sir iam degree lec sir your expalination is very nice sir i understand your class so much sir thank you sir for uploading this vedio this vedio is usefull to all statistics students and lec s also
There are several good books. Two names that come to my mind - the book on "Applied TSA" by Terence C. Mills and "Time Series Analysis" by Henrik Masden. However, these books do not necessarily provide the perspectives provided in this course. Further they may assume you have a reasonably good foundation in random variables and probability theory. Finally, they may not be necessarily self contained in the sense that introduction to estimation theory may be missing and so on. Yours truly is in the process of writing a self-contained book that not only reflects the lecture material and presentation but also a few advanced topics.
The best introduction I have heard so far. You have encompassed all the core aspects of estimation theory, in a simple, clear and captivating manner in English. I hope you continue to deliver more such insightful lectures for broader awareness. Thank you.
Thank you for your kind words of appreciation Amol ji. Sorry for the delay in my response though. I hope to capture these and lectures on other topics close to my heart in the forms of books for posterity.
@@appliedtime-seriesanalysis7076 That would be great Sir. I don't know if you have published the books already but I'll be on the lookout for these books.
Being a maths students aspiring JAM stats initially I was kind of afraid that if it will help with my syllabus. It was my best time investment of today. This topic was giving me hard time since a week.
I don't know what is your name sir. But honestly.. you are one of the most graceful and expressive teacher I have learnt from. It was for the first time I knew why I am studying estimation.
Thank you from the bottom of my heart sir. Live long ☺️
Prof. Arun is his name.
Thank you Dubey ji for the kind words of appreciation. My name is Arun Tangirala. Btw, I mentioned in the talk that I intend to offer a separate course on Parameter Estimation. That finally happened in 2020 (amidst all the pandemic chaos) wherein I could teach a full-semester (introductory) course on "Parameter and State Estimation". Hoping to record the next edition of this course and release it on UA-cam soon.
@@appliedtime-seriesanalysis7076 Sir is it available now ?
@@appliedtime-seriesanalysis7076 Please release it soon.
Please can you tell which of the nptel courses did you watch for JAM Stats.
Superb sir U r fan 🙏🙏🙏
I'm myself a teacher .
Thank you Mr. Ravel. Great to get this feedback from a teacher.
Much Better than Ribhu lectures
Your explain is very very good
Sir iam degree lec sir your expalination is very nice sir i understand your class so much sir thank you sir for uploading this vedio this vedio is usefull to all statistics students and lec s also
Thank you Ramanji. Please feel free to ask any questions that you may have.
Amazing explanation
Very good
Thank you!
Really great lecture....😊
Thank you Ravi ji.
Muy bueno. Gracias.
Eres muy bienvenido.
Thank you!
Can we get slides?
can anyone suggest a good book on this subject for self study?
There are several good books. Two names that come to my mind - the book on "Applied TSA" by Terence C. Mills and "Time Series Analysis" by Henrik Masden. However, these books do not necessarily provide the perspectives provided in this course. Further they may assume you have a reasonably good foundation in random variables and probability theory. Finally, they may not be necessarily self contained in the sense that introduction to estimation theory may be missing and so on.
Yours truly is in the process of writing a self-contained book that not only reflects the lecture material and presentation but also a few advanced topics.
How to prepare iss exam sir
Thanks
Thank u so much sir
boring
It can be at times. But when applied to real data, it can get exciting.