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Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function - MaRDI portal

Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function (Q2631575)

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Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function
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    Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function (English)
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    15 May 2019
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    Karhunen-Loève expansion
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    dimensionality reduction
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    Markov chain Monte Carlo
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    polynomial chaos
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    Bayesian inference
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