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EUSFLAT
2001
14 years 8 days ago
Reduction to independent variables: from normal distribution to general statistical case to fuzzy
In many practical problems, we must combine ("fuse") data represented in different formats, e.g., statistical, fuzzy, etc. The simpler the data, the easier to combine th...
Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich
CSDA
2004
191views more  CSDA 2004»
13 years 10 months ago
Computing the distribution of the product of two continuous random variables
We present an algorithm for computing the probability density function of the product of two independent random variables, along with an implementation of the algorithm in a compu...
Andrew G. Glen, Lawrence Leemis, John H. Drew
TCOM
2008
116views more  TCOM 2008»
13 years 10 months ago
Bounds on the Distribution of a Sum of Correlated Lognormal Random Variables and Their Application
The cumulative distribution function (cdf) of a sum of correlated or even independent lognormal random variables (RVs), which is of wide interest in wireless communications, remain...
Chintha Tellambura
ICC
2007
IEEE
136views Communications» more  ICC 2007»
14 years 5 months ago
On the Approximation of the Linear Combination of Log-Normal RVs via Pearson Type IV Distribution: Application to UWB Performanc
— Approximating the sum of Log–Normal random variables (RVs) is a long–standing open issue, in the old and recent literature, and many approaches have been proposed to deal w...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
UAI
2004
14 years 7 days ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper