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CCA
2009
Springer
13 years 11 months ago
Computability of Probability Distributions and Distribution Functions
We define the computability of probability distributions on the real line as well as that of distribution functions. Mutual relationships between the computability notion of a pro...
Takakazu Mori, Yoshiki Tsujii, Mariko Yasugi
ICA3PP
2005
Springer
13 years 10 months ago
Analytical Models of Probability Distributions for MPI Point-to-Point Communication Times on Distributed Memory Parallel Compute
Abstract. Measurement and modelling of distributions of data communication times is commonly done for telecommunication networks, but this has not previously been done for message ...
Duncan A. Grove, Paul D. Coddington
JMLR
2011
145views more  JMLR 2011»
12 years 11 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey
ISIPTA
2003
IEEE
147views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
Reducing Uncertainty by Imprecise Judgements on Probability Distributions: Application to System Reliability
In this paper the judgement consisting in choosing a function that is believed to dominate the true probability distribution of a continuous random variable is explored. This kind...
Igor Kozine, V. Krymsky
TSP
2010
12 years 11 months ago
ARMA signals with specified symmetric marginal probability distribution
Except in the case of normal (i.e Gaussian) distribution, it is very difficult to calculate the marginal probability distribution of ARMA signals. By using a particular form of mo...
Bernard C. Picinbono