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» Equivalence of Labeled Markov Chains
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WSC
1998
13 years 9 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 6 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
TOMACS
2011
139views more  TOMACS 2011»
13 years 2 months ago
The double CFTP method
We consider the problem of the exact simulation of random variables Z that satisfy the distributional identity Z L = V Y + (1 − V )Z, where V ∈ [0, 1] and Y are independent, an...
Luc Devroye, Lancelot F. James
ICASSP
2009
IEEE
14 years 2 months ago
Complete characterization of perfectly secure stego-systems with mutually independent embedding operation
Without any assumption on the cover source, this paper presents a complete characterization of all perfectly secure stego-systems that employ mutually independent embedding operat...
Tomás Filler, Jessica J. Fridrich
CORR
2010
Springer
79views Education» more  CORR 2010»
13 years 4 months ago
Probabilistic cellular automata, invariant measures, and perfect sampling
In a probabilistic cellular automaton (PCA), the cells are updated synchronously and independently, according to a distribution depending on a finite neighborhood. A PCA can be vi...
Ana Busic, Jean Mairesse, Irene Marcovici