Analyzing Markov Chains using Kronecker Products Theory and Applications /
Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Dayar, Tugrul (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
|
Edición: | 1st ed. 2012. |
Colección: | SpringerBriefs in Mathematics,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Computational Statistics
por: Gentle, James E.
Publicado: (2009) -
XI Symposium on Probability and Stochastic Processes CIMAT, Mexico, November 18-22, 2013 /
Publicado: (2015) -
Frontiers of Statistical Decision Making and Bayesian Analysis In Honor of James O. Berger /
Publicado: (2010) -
Dependence in Probability and Statistics
Publicado: (2010) -
A SAS/IML Companion for Linear Models
por: Perrett, Jamis J.
Publicado: (2010)