Course11110315835 lectures
Discrete-time Markov Chains And Poisson Processes
Prof. Ayon Ganguly and Prof. Subhamay Saha · IIT Guwahati
Lectures
Week 1: Introduction to Discrete-time Markov Chains
- Lec 1: Review of Basic Probability I
- Lec 2: Review of Basic Probability II
- Lec 3: Review of Basic Probability III
- Lec 4: Stochastic Processes
- Lec 5: Definition of Markov Chain and Transition Probabilities
Week 2: Chapman-Kolmogorov Equations and Communication
- Lec 6: Markov Property and Chapman-Kolmogorov Equations
- Lec 7: Chapman-Kolmogorov Equations: Examples
- Lec 8: Accessibility and Communication of States
Week 3: Hitting Times and Strong Markov Property
- Lec 9: Hitting Time I
- Lec 10: Hitting Time II
- Lec 11: Hitting Time III
- Lec 12: Strong Markov Property
Week 4: Classification of States
- Lec 13: Passage Time and Excursion
- Lec 14: Number of Visits
- Lec 15: Class Property
- Lec 16: Transience and Recurrence of Random Walks
Week 5: Stationary Distribution
- Lec 17: Stationary Distribution I
- Lec 18: Stationary Distribution II
- Lec 19: Stationary Distribution III
Week 6: Limit Theorems & Time Reversibility
- Lec 20: Limit Theorems I
- Lec 21: Limit Theorems II
- Lec 22: Some Problems I
- Lec 23: Some Problems II
- Lec 24: Time Reversibility
Week 7: Exponential Distribution and Poisson Processes
- Lec 25: Properties of Exponential Distribution
- Lec 26: Some Problems
- Lec 27: Order Statistics
- Lec 28: Poisson Processes
Week 8: Poisson Processes
- Lec 29: Poisson Thinning I
- Lec 30: Poisson Thinning II
- Lec 31: Conditional Arrival Times
- Lec 32: Independent Poisson Processes
- Lec 33: Some Problems
- Lec 34: Compound Poisson Processes
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Guwahati
- Department
- Mathematics
- Taught by
- Prof. Ayon Ganguly, Prof. Subhamay Saha
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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