๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Non-Markovian State-Space Models in Dependability Evaluation

โœ Scribed by Salvatore Distefano; Kishor S. Trivedi

Book ID
112184055
Publisher
John Wiley and Sons
Year
2012
Tongue
English
Weight
542 KB
Volume
29
Category
Article
ISSN
0748-8017

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Forward and backward Markovian state spa
Forward and backward Markovian state space models of second order process
โœ J. Bokor; M. Tanyi; Gy. Terdik ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 500 KB

This paper considers the realization of discrete time multivariable second order processes in forward and backward state space form. Using the forward and backward factorization of the spectral density and the associated infinite moving average representation of the process, the construction of mini

Wavelets in state space models
Wavelets in state space models
โœ Eliana Zandonade; Pedro A. Morettin ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 362 KB
Parameter Space Restrictions in State Sp
Parameter Space Restrictions in State Space Models
โœ Duk Bin Jun; Dong Soo Kim; Sungho Park; Myoung Hwan Park ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 185 KB

## ABSTRACT The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and autoregressive integrated moving average (ARIMA) models by examining the