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Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression
(2011)
This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge ...
A generalized ridge regression estimator and its finite sample properties
(Taylor & Francis Ltd., 2008)
An application of the local influence diagnostics to ridge regression under elliptical model
(Taylor & Francis IncPhiladelphiaEUA, 2007)
Multicollinearity and financial constraint in investment decisions: a Bayesian generalized ridge regression
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge ...
Bayesian endogeneity bias modeling
(Elsevier, 2013-11)
We propose to model endogeneity bias using prior distributions of moment conditions. The estimator can be obtained both as a method-of-moments estimator and in a Ridge penalized regression framework. We show the estimator's ...
Estrutura e Evolução dos Cordões Arenosos Pleistocênicos no Canal de Acesso à Laguna dos Patos-RS, Brasil
(Universidade Federal do Rio Grande do Sul, 2004-12)
This work presents the results of a high-resolution seismic reflection data survey carried out in the Patos lagoon inlet, near Rio Grande the southernmost harbor of Brazil. The analysis of the reflection patterns reveals ...
A comparison of statistical methods for genomic selection in a mice population
(Biomed Central Ltd., 2012-11-08)
Background: The availability of high-density panels of SNP markers has opened new perspectives for marker-assisted selection strategies, such that genotypes for these markers are used to predict the genetic merit of selection ...
Estimativas de efeitos genéticos em bezerros cruzados por diferentes modelos e métodos de estimação
(Sociedade Brasileira de Zootecnia, 2006-06-01)
Os objetivos neste trabalho foram comparar estimativas de parâmetros genéticos obtidas por meio de dois modelos - um contendo apenas efeitos aditivos e de dominância e outro que incluiu os efeitos aditivo-conjunto ...
Robust functional linear regression based on splines
(Elsevier Science, 2013-09)
Many existing methods for functional regression are based on the minimization of an L2 norm of the residuals and are therefore sensitive to atypical observations, which may affect the predictive power and/or the smoothness ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2007-01-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...