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Bayesian estimation of spatially varying soil parameters with spatiotemporal monitoring data
Acta Geotechnica, 2020Hao-Qing Yang +4 more
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Recursive Linear Estimation (Bayesian Estimation)
1989In the last chapter, we developed formulas enabling us to calculate the linear minimum variance estimator of X based on knowledge of a random vector Y. Moreover, we also calculated an expression for the so-called covariance of the estimation error. Specifically, then, our output was a random variable \(\hat X\) representing an estimator of X, and a ...
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Bayesian estimation of the specific shear and bulk viscosity of quark–gluon plasma
Nature Physics, 2019Jonah E. Bernhard, J. Moreland, S. Bass
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1996
We develop a fully Bayesian solution to the density estimation problem. Smoothness of the estimates f is incorporated through the integral formulation f(x) = ∫ dx′ф(x′) K(x,x′) involving an appropriately smooth kernel function K. The analysis involves integration over the underlying space of densities ф.
Sibusiso Sibisi, John Skilling
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We develop a fully Bayesian solution to the density estimation problem. Smoothness of the estimates f is incorporated through the integral formulation f(x) = ∫ dx′ф(x′) K(x,x′) involving an appropriately smooth kernel function K. The analysis involves integration over the underlying space of densities ф.
Sibusiso Sibisi, John Skilling
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Novel approach to nonlinear/non-Gaussian Bayesian state estimation
, 1993N. Gordon +2 more
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Bayesian reaction optimization as a tool for chemical synthesis
Nature, 2021Benjamin J Shields +2 more
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Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
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