- #1

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- TL;DR Summary
- Transition matrix is matrix that shows the probability of going into future state from a certain current state

The note I get from the teacher states that for transition matrix, the column part will be current state and the row part will be future state (let this be matrix A) so the sum of each column must be equal to 1. But I read from another source, the row part is the current state and the column part is the future state (let this be matrix B) so the sum of row is equal to 1. Matrix B is transpose of matrix A but when I try to multiply each of them with other matrix (matrix of the current value of observation), I get different results

https://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter11.pdf

That link states that the row part is the current state and the column part is the future state

https://www.math.ucdavis.edu/~dadde...tions/MarkovChain/MarkovChain_9_18/node1.html

The second link states that the column part will be current state and the row part will be future state

So which one is correct, matrix A or matrix B? Or maybe I am missing something?

Thanks

https://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter11.pdf

That link states that the row part is the current state and the column part is the future state

https://www.math.ucdavis.edu/~dadde...tions/MarkovChain/MarkovChain_9_18/node1.html

The second link states that the column part will be current state and the row part will be future state

So which one is correct, matrix A or matrix B? Or maybe I am missing something?

Thanks