of 1

DAT 520: How to Iterate Markov Processes in R

Published on October 2017 | Categories: Graphic Art | Downloads: 34 | Comments: 0
236 views

In a Markov process, the first matrix represents the initial probability distribution. The second matrix represents the transition matrix, from previous state to the next state. Each row in either matrix adds to 1, because they are related probabilities of moving or not moving from one state to another. (A+B=1, C+D=1, E+F=1) The exponent xrepresents which cycle is being calculated. The output in R from calculating one of these will be something like: [,1] [,2] [1,] A B You may calculate these Markov chains with a command structure like this: x1

Comments

Content

In a Markov process, the first matrix represents the initial probability distribution. The second matrix represents the transition matrix, from previous state to the next state. Each row in either matrix adds to 1, because they are related probabilities of moving or not moving from one state to another. (A+B=1, C+D=1, E+F=1) The exponent xrepresents which cycle is being calculated. The output in R from calculating one of these will be something like: [,1] [,2] [1,] A B You may calculate these Markov chains with a command structure like this: x1

Sponsor Documents


Recommended

No recommend documents

Or use your account on DocShare.tips

Hide

Forgot your password?

Or register your new account on DocShare.tips

Hide

Lost your password? Please enter your email address. You will receive a link to create a new password.

Back to log-in

Close