Results 81 to 90 of about 430,573 (198)

Convergence analysis of a proximal Gauss-Newton method

, 2011
An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions.
Salzo, Saverio, Villa, Silvia
core   +2 more sources

Semiparametric Sieve-Type GLS Inference in Regressions with Long-Range Dependence [PDF]

This paper considers the problem of statistical inference in linear regression models whose stochastic regressors and errors may exhibit long-range dependence.
George Kapetanios, Zacharias Psaradakis
core  

Least Squares Generalization-Memorization Regression

Advances in Computer and Engineering Technology Research
Generalization-Memorization learning endeavors to minimize empirical risk while simultaneously reducing expected risk. Although we often do not pay attention to whether the training samples are accurately memorized during regression, improving generalization performance with better memory is always a goal pursued by regression. To tackle this issue, we
Shuai Wang, Yu Wang, Yiwei Song
openaire   +1 more source

PARAMETER SELECTION IN LEAST SQUARES-SUPPORT VECTOR MACHINES REGRESSION ORIENTED, USING GENERALIZED CROSS-VALIDATION

Dyna, 2012
RESUMEN: En este trabajo, se propone una metodología para la selección automática de los parámetros libres de la técnica de regresión basada en mínimos cuadrados máquinas de vectores de soporte (LS-SVM), a partir de un análisis de validación cruzada ...
ANDRÉS M. ÁLVAREZ MEZA, GENARO DAZA SANTACOLOMA, CARLOS D. ACOSTA MEDINA, GERMÁN CASTELLANOS DOMÍNGUEZ   +3 more
doaj  

BARS curve in Romanian economy

Amfiteatru Economic, 2015
The paper is consacrated to the binomial “public budget-global output” from the BARS curve perspective. The first section characterizes the main conceptual premises of this approach. The second is devoted to empirical analysis, using the statistical data
Emilian Dobrescu
doaj  

Component-based structural equation modelling [PDF]

In this research, the authors explore the use of ULS-SEM (Structural-Equation-Modelling), PLS (Partial Least Squares), GSCA (Generalized Structured Component Analysis), path analysis on block principal components and path analysis on block scales on ...
TENENHAUS, Michel
core  

Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures

, 2012
Generalized linear mixed-effects models in the context of genome-wide association studies (GWAS) represent a formidable computational challenge: the solution of millions of correlated generalized least-squares problems, and the processing of terabytes of
Aulchenko, Yurii, Bientinesi, Paolo, Fabregat-Traver, Diego   +2 more
core  

LINS Curve in Romanian Economy

Amfiteatru Economic, 2016
The paper presents theoretical considerations and empirical evidence to test the validity of the Laffer in Narrower Sense (LINS) curve as a parabola with a maximum. Attention is focused on the so-called legal-effective tax gap (letg).
Emilian Dobrescu
doaj  

ESTIMATING MULTILEVEL MODELS FOR CATEGORICAL DATA VIA GENERALIZED LEAST SQUARES ESTIMACION DE MODELOS MULTINIVEL PARA DATOS CATEGORICOS A TRAVES DE MINIMOS CUADRADOS GENERALIZADOS

Revista Colombiana de Estadística, 2005
Montero et al. (2002) proposed a strategy to formulate multilevel models related to a contingency table sample. This methodology is based on the application of the general linear model to hierarchical categorical data. In this paper we applied the method
Montero Díaz Minerva, Guerra Ones Valia
doaj  

Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces [PDF]

The computation of robust regression estimates often relies on minimization of a convex functional on a convex set. In this paper we discuss a general technique for a large class of convex functionals to compute the minimizers iteratively which is ...
Bissantz, Nicolai, Dümbgen, Lutz, Munk, Axel, Stratmann, Bernd   +3 more
core