Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...
A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
First formulated in the late 19th century by Austrian physicist and mathematician Ludwig Boltzmann, this principle remains ...
Native Americans have been playing with dice in games of chance for more than 12,000 years, according to a new paper ...
Abstract: In probability theory, variance is a device to measure dispersion of random variable from its mean. In order to explain complex uncertain random variable,variance and pseudo-variance are ...
This investigation was supported (in part) by the U.S. Public Health Service, National Institutes of Health, grant GM-10525. Join the global community of subscribers to PNAS, the flagship journal of ...
ABSTRACT: Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for ...
The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm. A ...
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