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On a continuous spectral algorithm for simulating non stationary Gaussian random fields
(Springer, 2018)
This paper presents an algorithm for simulating
Gaussian random fields with zero mean and non-stationary
covariance functions. The simulated field is obtained as a
weighted sum of cosine waves with random frequencies
and ...
On a continuous spectral algorithm for simulating non-stationary Gaussian random fields
(Springer New York LLC, 2018)
This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and ...
Bayesian Longitudinal Item Response Modeling With Restricted Covariance Pattern Structures
(SpringerDordrecht, 2016)
Bayesian Longitudinal Item Response Modeling With Restricted Covariance Pattern Structures
(SPRINGERDORDRECHT, 2016)
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 ...
Bayesian nonparametric estimation of test equating functions with covariates
(2015)
Equating is an important step in the process of collecting, analyzing, and reporting test scores in any program of assessment. Methods of equating utilize functions to transform scores on two or more versions of a test, ...