Buscar
Mostrando ítems 11-20 de 3713
Finding archetypal patterns for binary questionnaires
One of the main challenges researchers face is to identify the most relevant features in a prediction model. As a consequence, many regularized methods seeking sparsity have flourished. Although sparse, their solutions may ...
Modeling variability in generalized linear models
This work proposes joint modeling of parameters in the biparametric exponential family, including heteroscedastic linear regression (non linear regression) models; with joint modeling of the mean and precision (the ...
Improving the kernel regularized least squares method for small-sample regression
(ElsevierAmsterdam, 2015-09)
The kernel regularized least squares (KRLS) method uses the kernel trick to perform non-linear regression estimation. Its performance depends on proper selection of both a kernel function and a regularization parameter. ...
Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles
(ELSEVIER, 2008)
Typically, the fundamental assumption in non-linear regression models is the normality of the errors. Even though this model offers great flexibility for modeling these effects, it suffers from the same lack of robustness ...
Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
(BioMed Central, 2016)
BACKGROUND: Childhood growth is a cornerstone of pediatric research. Statistical models need to consider individual trajectories to adequately describe growth outcomes. Specifically, well-defined longitudinal models are ...
NON-LINEAR MODELS APPLIED IN THE DRYING KINETIC OF THE PANSY EDBILE FLOWERMODELOS NÃO-LINEARES APLICADOS NA CINÉTICA DE SECAGEM DA FLOR COMESTÍVEL DE AMOR PERFEITO
(Universidade Federal de Mato Grosso, 2023)
Teste de stress por análise de estilo
(2017-05-29)
Esta dissertação propõe o uso de modelos de análise de estilo para a previsão da distribuição dos retornos de carteiras condicionais a cenários estressados de fatores de risco como uma alternativa aos tradicionais modelos ...
Multiple linear regression model applied to the projection of electricity demand in Colombia
(EconJournals, 2020)
The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia, reason why at the present time it is of much interest and utility ...
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
(Genetics Society of Americahttp://www.g3journal.org/content/2/12/1595.full, 2013)
Quantile Regression In Linear Mixed Models: A Stochastic Approximation Em Approach
(Int Press Boston, IncSomerville, 2017)