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Optimización de modelos poblacionales no lineales de efectos mixtos mediante cómputo evolutivo.
(Carlos Abel Sepúlveda Álvarez, 2016-10-13)
Utilizar modelos no lineales de efectos mixtos para el desarrollo de modelos farmacocinéticos poblacionales es una de las metodologías que más se aplican cuando se requiere caracterizar la disposición de un fármaco en el ...
An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields
(2016)
We propose a spectral turning-bands approach for the simulation of second-order stationary vector Gaussian random fields. The approach improves existing spectral methods through coupling with importance sampling techniques. ...
Covariance management based RLS algorithm for phasor estimation in severely noisy systems
(1998-10)
This paper presents a new algorithm, derived from the recursive least squares (RLS), to estimate power system voltage and current harmonics for digital relay purposes. The algorithm is based on the RLS covariance matrix ...
Calibrating covariate informed product partition models
(2018)
Covariate informed product partition models incorporate the intuitively appealing notion that individuals or units with similar covariate values a priori have a higher probability of co-clustering than those with dissimilar ...
Assessing the estimation of nearly singular covariance matrices for modeling spatial variables
(Wiley, 2023)
© 2023, Institute of Mathematical Statistics. All rights reserved.Spatial analysis commonly relies on the estimation of a co-variance matrix associated with a random field. This estimation strongly impacts the prediction ...
Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process
(Taylor & Francis Ltd, 2012)
We introduce a nonparametric breakpoint detection method for the means and covariances of a multivariate discrete time stochastic process. Breakpoints are defined as left or right endpoints of maximal intervals of local ...
Signal detection in high dimension: the multispiked case
(Inst Mathematical Statistics, 2014-02)
This paper applies Le Cam's asymptotic theory of statistical experiments to the signal detection problem in high dimension. We consider the problem of testing the null hypothesis of sphericity of a high-dimensional covariance ...
Why Pair Production Cures Covariance in the Light-Front?
(Springer/plenum Publishers, 2009-08-01)
We show that the light-front vacuum is not trivial, and the Fock space for positive energy quanta solutions is not complete. As an example of this non triviality we have calculated the electromagnetic current for scalar ...