Markov Chain Practice 1

preview_player
Показать описание
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
Instructor: Qing He

License: Creative Commons BY-NC-SA
  1. MIT OpenCourseWare
  2. Markov chain
  3. transition probability
  4. conditional probability of transition
Рекомендации по теме
Markov Chain Practice 0:11:42

Markov Chain Practice 1

Markov Chains Clearly 0:09:24

Markov Chains Clearly Explained! Part - 1

Setting Up a 0:10:36

Setting Up a Markov Chain

Markov Chain 01: 0:16:18

Markov Chain 01: Transition Probability Matrix with Examples | Engineering Mathematics

Markov Chains (Part 0:15:00

Markov Chains (Part 1)

[CS 70] Markov 0:14:41

[CS 70] Markov Chains – Hitting Time, Part 1

Markov Chain - 1:08:29

Markov Chain - Practice Problems

1. Markov Chains 0:18:03

1. Markov Chains

Markov Matrices 0:11:49

Markov Matrices

Markov process 1 0:13:57

Markov process 1

Markov Chains Lesson 0:13:45

Markov Chains Lesson (Part 1: Transition Matrix)

The Best Markov 0:10:11

The Best Markov Chain Explanation

MTH 143 Markov 0:16:22

MTH 143 Markov Chains Part 1

Markov Chains & 0:06:54

Markov Chains & Transition Matrices

Presentation 14: Random 0:19:55

Presentation 14: Random Sampling from a Distribution with Applications to Markov Chain Simulations

Markov Chains - 0:04:29

Markov Chains - Short Introduction | David Kozhaya

Markov Chain-Steady State 0:26:10

Markov Chain-Steady State Probabilities-Three Examples

Markov Process - 0:05:55

Markov Process - Lecture 2 Part 1

Markov Chain Theory 0:02:51

Markov Chain Theory Episode 1 | Discrete Time Markov Chain | Chapman-Komogorov Equantions

Find the stationary 0:07:07

Find the stationary distribution of the markov chains (one is doubly stochastic)

Practice Problems - 0:24:21

Practice Problems - Markov Chain and Decision Tree

[AM] Markov Chains 0:22:13

[AM] Markov Chains 1 - Transitions

G set statistics( 0:02:13

G set statistics( Markov chain @ probability of first passage from state 1 to state 2 in transition)

Markov Chain Graph 0:01:57

Markov Chain Graph example 1

Комментарии
Автор

in b, P(S3 never goes S4)=1/4+1/4^2+1/4^3+...=1/3, as a infinity series

xy-xezl
Автор

I also personally feel that she should've explained (d from a conditioning perspective as well like she did for (b and (c, it is just more consistent and people wouldn't think it was unconditional probability, given this course is for beginners...

qiuxiaomu