We provide a sufficient criterion for the unique parameter identification of combinatorially symmetric Hidden Markov Models based on the structure of their transition matrix. If the observed states of the chain form a zero forcing set of the graph of the Markov model then it is uniquely identifiable and an explicit reconstruction method is given.
- Pub Date:
- September 2017
- Mathematics - Combinatorics;
- Mathematics - Statistics Theory
- Although the result is very simple, I could not find much (closely) related work. If I missed out something I'd be grateful if you could let me know via email to firstname.lastname@example.org