Equations for hidden Markov models
A Schönhuth - arXiv preprint arXiv:0901.3749, 2009 - arxiv.org
arXiv preprint arXiv:0901.3749, 2009•arxiv.org
We will outline novel approaches to derive model invariants for hidden Markov and related
models. These approaches are based on a theoretical framework that arises from viewing
random processes as elements of the vector space of string functions. Theorems available
from that framework then give rise to novel ideas to obtain model invariants for hidden
Markov and related models.
models. These approaches are based on a theoretical framework that arises from viewing
random processes as elements of the vector space of string functions. Theorems available
from that framework then give rise to novel ideas to obtain model invariants for hidden
Markov and related models.
We will outline novel approaches to derive model invariants for hidden Markov and related models. These approaches are based on a theoretical framework that arises from viewing random processes as elements of the vector space of string functions. Theorems available from that framework then give rise to novel ideas to obtain model invariants for hidden Markov and related models.
arxiv.org