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» Series Expansions for Continuous-Time Markov Processes
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IOR
2010
92views more  IOR 2010»
13 years 3 months ago
Series Expansions for Continuous-Time Markov Processes
We present exchange formulas that allow to express the stationary distribution of a continuous Markov chain with denumerable state-space having generator matrix Q∗ through a con...
Bernd Heidergott, Arie Hordijk, Nicole Leder
DCC
2005
IEEE
14 years 4 months ago
Asymptotics of the Entropy Rate for a Hidden Markov Process
We calculate the Shannon entropy rate of a binary Hidden Markov Process (HMP), of given transition rate and noise (emission), as a series expansion in . The first two orders are ca...
Or Zuk, Ido Kanter, Eytan Domany
CSDA
2006
84views more  CSDA 2006»
13 years 4 months ago
Extremal financial risk models and portfolio evaluation
It is difficult to find an existing single model which is able to simultaneously model exceedances over thresholds in multivariate financial time series. A new modeling approach, ...
Zhengjun Zhang, James Huang
JMLR
2010
157views more  JMLR 2010»
12 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell