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Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
(ElsevierInternational Association for Statistical ComputingComputational and Methodological StatisticsNL, 2022-05-05)
Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to simultaneous estimation of mean and auto-covariance ...
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
(ElsevierInternational Association for Statistical ComputingComputational and Methodological StatisticsNL, 2022-05-05)
Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to simultaneous estimation of mean and auto-covariance ...
Behavior computational tool for detection and diagnosis oscillations in a control systems
(Corporación Universidad de la Costa, 2021)
Spectral mixture kernels for Multi-Output Gaussian processes
(Universidad de Chile, 2017)
Multi-Output Gaussian Processes (MOGPs) are the multivariate extension of Gaussian processes (GPs \cite{Rasmussen:2006}), a Bayesian nonparametric method for univariate regression. MOGPs address the multi-channel regression ...