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FCS
2006
14 years 7 days ago
Speeeding Up Markov Chain Monte Carlo Algorithms
We prove an upper bound on the convergence rate of Markov Chain Monte Carlo (MCMC) algorithms for the important special case when the state space can be aggregated into a smaller ...
Andras Farago
APPROX
2010
Springer
133views Algorithms» more  APPROX 2010»
13 years 5 months ago
Liftings of Tree-Structured Markov Chains - (Extended Abstract)
d Abstract) Thomas P. Hayes1 and Alistair Sinclair2 1 Department of Computer Science, University of New Mexico 2 Computer Science Division, University of California at Berkeley A &...
Thomas P. Hayes, Alistair Sinclair
STACS
2005
Springer
14 years 4 months ago
Recursive Markov Chains, Stochastic Grammars, and Monotone Systems of Nonlinear Equations
We introduce and study Recursive Markov Chains (RMCs), which extend ordinary finite state Markov chains with the ability to invoke other Markov chains in a potentially recursive m...
Kousha Etessami, Mihalis Yannakakis
CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 11 months ago
Derivatives of Entropy Rate in Special Families of Hidden Markov Chains
Consider a hidden Markov chain obtained as the observation process of an ordinary Markov chain corrupted by noise. Zuk, et. al. [13, 14] showed how, in principle, one can explicit...
Guangyue Han, Brian Marcus
MOR
2006
60views more  MOR 2006»
13 years 10 months ago
Measure-Valued Differentiation for Stationary Markov Chains
: We study general state-space Markov chains that depend on a parameter, say, . Sufficient conditions are established for the stationary performance of such a Markov chain to be di...
Bernd Heidergott, Arie Hordijk, Heinz Weisshaupt