Chapman-Kolmogorov Equation & Theorem | Markov Process

For Book: See the link amzn.to/2NirzXT
This lecture explains the Chapman-Kolmogorov Equation & Theorem.
Other videos ‪@DrHarishGarg‬
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Lecture 2: Problems using TPM Part 1: • Lecture #2: Solved Pro...
Lecture 3: Problems using TPM Part 2: • Lecture #3: Solved Pro...
Lecture 4: Problems using TPM Part 3: • Lecture #4: Solved Exa...
Lecture 5: Stationary Probabilities: • Lecture #5: Stationary...
Lecture 6: Chapman-Kolmogorov Equation & Theorem: • Chapman-Kolmogorov Equ...

[@samaygujrati9852]

now my right ear is feeling educated....... thankuu sir :)

[@StudyStuff-pk7gv]

Thank you so much sir!
Because of you only, I was able to understand this unit.
Thanks a lot!!! ♥️

[@chandansonkar7736]

Sir you teach every lecture very easy way 🙏 thanks

[@dopaus3410]

感谢你的教程。

[@anainur2802]

Thank you.please make one about poisson process and counting process

[@avanishranjan7859]

Really well explained sir.
Pls make vd on possion process.
Thankyou sir🙏

[@suryakantasahoo5883]

Tq sir this video is helpful for me....make a video about the poission process.

[@BasicMarineEngineering]

can anyone help me with solving the eq 5 in this paper "Reliability analysis and redundancy optimization of k-out-of-n systems with
random variable k using continuous time Markov chain and Monte
Carlo simulation"

[@suryakantasahoo5883]

Tq for this lecture sir

[@geetapuri4973]

Sir, how did you add the kth state (TS: 3:28)?

[@GyanendraPathak21]

Very useful

[@nick20_s]

Thank you for the explanation

[@DrHarishGarg]

Welcome .... Keep sharing the videos with others and motivate them so that they will also learn Probability & statistics in a very simple and easy way through my videos & channels.... Cheers. Best wishes

[@xuexue3857]

Great video, I like it so much!

[@DrHarishGarg]

Thank xue... Glad you liked it

[@hehebohey3747]

Chapman- Kolomogorov theorem states that
values
a) [P (n) ] = [ Pij]n
b) [P ] = [ Pij]n
c ) [nP ] = [ Pij]n
d)Pij [
(n) ] = [ Pij]n
ans b ?

[@ashishjha5207]

(d). Pij(n) = [Pij]^n

[@samwong9431]

Markov Process refers to the continuous case and this discrete case is actually called Markov Chains.

[@jayeshchaurasiya262]

What if we have to find after 4 step , we have to multiple 4times?

[@DrHarishGarg]

yes

[@badiaoudaime4650]

❤

[@harshitkapoor9749]

Is this topic required in bba ?

[@DrHarishGarg]

Join my telegram link of Probability and Statistics
t.me/gargProbability

[@shrawankumarpatel2148]

🙏🙏🙏🙏🙏🌺🌺🌺🌺