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Multivariate Polynomial Chaos Expansions with Dependent Variables
SIAM Journal on Scientific Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feinberg, Jonathan +2 more
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ROBUST CHAOS IN POLYNOMIAL UNIMODAL MAPS
International Journal of Bifurcation and Chaos, 2004Simple polynomial unimodal maps which show robust chaos, that is, a unique chaotic attractor and no periodic windows in their bifurcation diagrams, are constructed. Their invariant distributions and Lyapunov exponents are examined.
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A Polynomial Chaos Approach to Measurement Uncertainty
IEEE Transactions on Instrumentation and Measurement, 2005Measurement uncertainty is traditionally represented in the form of expanded uncertainty as defined through the Guide to the Expression of Uncertainty in Measurement (GUM). The International Organization for Standardization GUM represents uncertainty through confidence intervals based on the variances and means derived from probability density ...
T. Lovett, F. Ponci, A. Monti
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Stochastic Estimation via Polynomial Chaos
2015Abstract : This expository report discusses fundamental aspects of the polynomial chaos method for representing the properties of second order stochastic processes. As originally developed by Norbert Weiner, a polynomial chaos represents key properties of a stochastic process through the application of finite series of orthogonal polynomials.
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Real polynomial chaos and absolute continuity
Probability Theory and Related Fields, 1988Under very general conditions, we prove that the members of a so-called real polynomial chaos have absolutely continuous probability distributions.
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Polynomial Chaos Functions and Neutron Diffusion
Nuclear Science and Engineering, 2007The polynomial chaos functions of Wiener are used to solve a stochastic differential equation. It is shown that a variety of polynomials are available according to the probability distribution of t...
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