Results 41 to 50 of about 741,734 (189)
Modified BIC Criterion for Model Selection in Linear Mixed Models
Mathematics, 2023 Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a linear mixed model ...
Hang Lai, Xin Gao
doaj +1 more source
Revista Colombiana de Estadística, 2007 The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto +2 more
doaj
Partitioned conditional generalized linear models for categorical data [PDF]
, 2014 In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formally defined for only two or three levels in the hierarchy.
Guédon, Yann +2 more
core +4 more sources
Non-linear Learning for Statistical Machine Translation
, 2015 Modern statistical machine translation (SMT) systems usually use a linear combination of features to model the quality of each translation hypothesis. The linear combination assumes that all the features are in a linear relationship and constrains that ...
Chen, Huadong +3 more
core +1 more source
Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas
Revista Colombiana de Estadística, 2007 A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ +2 more
doaj
BBR: Brazilian Business Review, 2018 The objective of this research was to examine the influence of macroeconomic and institutional factors when determining the capital structure of Latin American companies from 2009 to 2014, and also analyze if the significance of these factors to explain ...
Cláudio Bernardo +2 more
doaj +1 more source
Education Sciences, 2022 School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance.
Jesús García-Jiménez +2 more
doaj +1 more source
Bayesian designs for hierarchical linear models [PDF]
Statistica Sinica, 2009 Summary: Two Bayesian optimal design criteria for hierarchical linear models are discussed: the \(\psi_\beta\) criterion for the estimation of individual-level parameters \(\beta\), and the \(\psi_\theta\) criterion for the estimation of hyperparameters \(\mathbf \theta\).
Liu, Qing +2 more
openaire +3 more sources
ComputationConsumer product usability has been addressed using tools that evaluate objects to improve user interaction. However, such diversity in approach makes it challenging to select a method for the type of product being assessed.
Mayra Ivette Peña-Ontiveros +5 more
doaj +1 more source
Dynamically rescaled Hamiltonian Monte Carlo for Bayesian Hierarchical Models
, 2018 Dynamically rescaled Hamiltonian Monte Carlo (DRHMC) is introduced as a computationally fast and easily implemented method for performing full Bayesian analysis in hierarchical statistical models.
Kleppe, Tore Selland
core +1 more source