Zobrazeno 1 - 10
of 2 479
pro vyhledávání: '"Salazar Juan"'
Model predictive control (MPC) is a powerful control technique for online optimization using system model-based predictions over a finite time horizon. However, the computational cost MPC requires can be prohibitive in resource-constrained computer s
Externí odkaz:
http://arxiv.org/abs/2410.06556
A model with fermion and scalar fields charged under a Peccei-Queen~(PQ) symmetry is proposed. The PQ charges are chosen in such a way that they can reproduce mass matrices with five texture zeros, {which can generate} the fermion masses, the CKM mat
Externí odkaz:
http://arxiv.org/abs/2304.07406
Publikováno v:
Revista Colombiana de Estadística, Vol 35, Iss 2, Pp 223-237 (2012)
The classification of individuals is a common problem in applied statistics. If X is a data set corresponding to a sample from an specific population in which observations belong to g different categories, the goal of classification methods is to det
Externí odkaz:
https://doaj.org/article/9eef35640ca6433c8a0cdf0793504f76
Autor:
Tovar Roger Jesús, Salazar Juan Carlos
Publikováno v:
Revista Colombiana de Estadística, Vol 32, Iss 2, Pp 213-230 (2009)
In this paper we study methodology to estimate the effects of covariates using a linear mixed model with random intercept and polytomous ordinal categorical response, under different distributional specifications of this random intercept. This method
Externí odkaz:
https://doaj.org/article/cf2d1c7f91d04a56acff08668b6a8d2f
Autor:
Salazar Juan Carlos, Palomino René Iral, Calvo Enrique, Rojas Adriana, Hincapié María Eugenia, Anaya Juan Manuel, Díaz Francisco Javier
Publikováno v:
Revista Colombiana de Estadística, Vol 30, Iss 2, Pp 213-229 (2007)
We consider a three state model with an absorbing state assuming an underlying Markov process to explain the dependence among observations within subjects. We compare, using a simulation study, three different parameterizations of the transition inte
Externí odkaz:
https://doaj.org/article/ad981996020b414cb848966bd83bc003