Stochastic Processes XCRZV0WXX1
| URI | m2://res/XCRZV0WXX1 |
|---|---|
| Kind | course |
| Creators | N. Selvaraju (instructor), S. Dharmaraja (instructor) |
| MSC | 60-XX |
| Scope | in |
| Ids | course 0022nd079:111103022 |
Expressions
e1: edition
| Language | en |
|---|
- m1: page, IIT Guwahati (record). nptel 111103022
Contents
- part 1: Probability Essentials
- session 1: Introduction
- session 2: Random Variables and Probability Distributions
- session 3: Random Vectors and Expectations
- session 4: Sequences of Random Variables
- session 5: References and Exercises 1
- part 2: Introduction to Stochastic Processes
- session 6: What are Stochastic Processes?
- session 7: Classes of Stochastic Processes
- session 8: References and Exercises 2
- part 3: Discrete-Time Markov Chains
- session 9: Introduction and Examples
- session 10: Classification of States – I
- session 11: Classification of States – II
- session 12: Stability of Markov Chains
- session 13: Reducible Markov Chains
- session 14: Reversed and Time-Reversible Markov Chains
- session 15: References and Exercises 3
- part 4: Continuous-Time Markov Chains
- session 16: Definition and Kolmogorov Equations
- session 17: Limiting and Stationary Distributions
- session 18: Poisson Processes – I
- session 19: Poisson Processes – II
- session 20: Birth-Death Processes
- session 21: M/M/1 Queueing Model
- session 22: Simple Markovian Queueing Models
- session 23: References and Exercises 4
- part 5: Martingales
- session 24: Filtrations and Conditional Expectations
- session 25: Conditional Expectations
- session 26: Generated ?-fields
- session 27: Martingales, Sub-martingales and Super-martingales
- session 28: Stopping Times and Inequalities
- session 29: Convergence Theorems
- session 30: References and Exercises 5
- part 6: Brownian Motion
- session 31: Brownian Motion
- session 32: Properties of Brownian Motion – I
- session 33: Properties of Brownian Motion – II
- session 34: Processes derived from Brownian Motion
- session 35: Stochastic Differential Equations and Itô Integrals
- session 36: Itô’s Formula
- session 37: SDEs and their Applications in Finance
- session 38: References and Exercises 6
- part 7: Renewal Processes
- session 39: Renewal Function and Renewal Equation
- session 40: Generalized Renewal Processes and Renewal Limit Theorems
- session 41: Markov Renewal and Markov Regenerative Processes
- session 42: Non-Markovian Queues
- session 43: Non-Markovian Queues (contd.) 1
- session 44: Non-Markovian Queues (contd.) 2
- session 45: References and Exercises 7
- part 8: Branching Processes
- session 46: Galton-Watson Process
- session 47: Properties of GW Process
- session 48: Markov Branching Process
- session 49: References and Exercises 8
- part 9: Stationary Processes
- session 50: Stationary Processes
- session 51: Some Special Stationary Processes
- session 52: References and Exercises 9
Catalogue records
- nptel: 111103022 (manifestation)