Results 51 to 60 of about 1,409,985 (359)
Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]
, 2011 With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
core +2 more sources
Bayesian multimodel inference for geostatistical regression models. [PDF]
PLoS ONE, 2011 The problem of simultaneous covariate selection and parameter inference for spatial regression models is considered. Previous research has shown that failure to take spatial correlation into account can influence the outcome of standard model selection ...
Devin S Johnson, Jennifer A Hoeting
doaj +1 more source
Varying coefficient models as Mixed Models : reparametrization methods and bayesian estimation [PDF]
, 2013 Non-linear relationships are accommodated in a regression model using smoothing functions. Interaction may occurs between continuous variable, in this case interaction between nonlinear and linear covariate leads to varying coefficent model (VCM), a ...
Freni Sterrantino, Anna
core +1 more source
Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models
MathematicsThis paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj +1 more source
Nonlinear quantile mixed models
, 2019 In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is non ...
Geraci, Marco
core +1 more source
, 2017 Crown profile is mostly related to the competition of individual trees in the stands, light interception, growth, and yield of trees. A total of 76 sample trees with a total number of 889 whorls and 3658 live branches were used to develop the outer crown
Yunxia Sun, Hui-lin Gao, Fengri Li
semanticscholar +1 more source
Perturbation selection and influence measures in local influence analysis [PDF]
, 2007 Cook's [J. Roy. Statist. Soc. Ser. B 48 (1986) 133--169] local influence approach based on normal curvature is an important diagnostic tool for assessing local influence of minor perturbations to a statistical model.
Ibrahim, Joseph G. +3 more
core +3 more sources
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 We consider {\em Mixed Linear Regression (MLR)}, where training data have been generated from a mixture of distinct linear models (or clusters) and we seek to identify the corresponding coefficient vectors. We introduce a {\em Mixed Integer Programming (MIP)} formulation for MLR subject to regularization constraints on the coefficient vectors.
Wang, Taiyao, Paschalidis, Ioannis Ch.
openaire +2 more sources
A mixed-effects model for growth curves analysis in a two-way crossed classification layout
Revista de Matemática: TeorÃa y Aplicaciones, 2009 We propose a mixed-effects linear model for analyzing growth curves data obtained using a two-way classification experiment. The model combines an unconstrained means model and a regression model on the time, in which the coefficients are considered ...
Mario Miguel Ojeda, Hardeo Sahai
doaj +1 more source
A comparison of multiple imputation methods for missing data in longitudinal studies
BMC Medical Research Methodology, 2018 Background Multiple imputation (MI) is now widely used to handle missing data in longitudinal studies. Several MI techniques have been proposed to impute incomplete longitudinal covariates, including standard fully conditional specification (FCS-Standard)
Md Hamidul Huque +3 more
doaj +1 more source