Probability and Statistics (Module 1.10 - English)

Probability and Statistics (Module 1.10)
● States, Transitions, Markov Chains
● Three examples of Markovian processes
● Markovian basics
● Regular (ergodic) Markov Chains
● Absorbing Markov Chains
These are self-study lectures on probability theory suitable for college level students studying mathematics, physics, economics, and business.
References:
1. A Natural Introduction to Probability Theory, Robert Meester, Birkhäuser Verlag (2008).
2. Introduction to Probability Models, 9th Edition, Elsevier (2009).
3. Grinstead and Snell's Introduction to Probability, the CHANCE Project (2006).
4. Probability Theory and its Applications, William Feller, 3rd edition, John Wiley (1970).
For worked examples, I strongly recommend the books by Hossein Pishro-Nik which you can easily locate with a Google search.
For more lectures of this series and that of Thermodynamics, Waves And Oscillations, Quantum Mechanics, Special Relativity, Calculus, Physics and more, visit:
theblackhole.pk/physics-math-...

[@mnasirkhanctl]

Blessed are we to have a teacher like you. Hats off sir

[@khurramhanif74]

Excellent initiative please continue❤

[@atulyadav9522]

Amazing sir

[@samarth5991]

amazing lecture....
lots of love from India❤🇮🇳👍

[@Orange-Tales]

Thank you sir

[@khurramhanif74]

It will make the lectures more powerful if you can please start with a practical application and need of statistical concept in plain English so it makes it easier for the audience to relate.