Advanced Topics in Probability and Random Processes (English)

   Thursday, February 15, 2024   

Starting a new Lecture Notes Series on Advanced Topics in Probability and Random Processes

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Channel Name: NPTEL IIT Guwahati

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Advanced Topics in Probability and Random Processes By Lecture Notes together!

Lecture 1: Advanced Topics in Probability and Random Processes

Lecture 2: Lec 1: Probability Basics

Lecture 3: Lec 2: Random Variable-I

Lecture 4: Lec 3: Random Variable-II

Lecture 5: Lec 4: Random Vectors and Random Processes

Lecture 6: Lec 5: Infinite Sequence of Events-l

Lecture 7: Lec 6: Infinite Sequence of Events-ll

Lecture 8: Lec 7: Convergence of Sequence of Random Variables

Lecture 9: Lec 8: Weak Convergence-I

Lecture 10: Lec 9: Weak Convergence-II

Lecture 11: Lec 10: Laws of Large Numbers

Lecture 12: Lec 11: Central Limit Theorem

Lecture 13: Lec 12: Large Deviation Theory

Lecture 14: Lec 13: Crammer's Theorem for Large Deviation

Lecture 15: Lec 14: Introduction to Markov Processes

Lecture 16: Lec 15: Discrete Time Markov Chain

Lecture 17: Lec 16: Discrete Time Markov Chain-2

Lecture 18: Lec 17: Discrete Time Markov Chain-3

Lecture 19: Lec 18: Discrete Time Markov Chain-4

Lecture 20: Lec 19: Discrete Time Markov Chain-5

Lecture 21: Lec 20: Continuous Time Markov Chain - 1

Lecture 22: Lec 21: Continuous Time Markov Chain - 2

Lecture 23: Lec 22: Continuous Time Markov Chain - 3

Lecture 24: Lec 23: Martingle Process-1

Lecture 25: Lec 24: Martingle Process-2