- Efficient Shrinkage for Generalized Linear Mixed Models Under ...🔍
- Prediction of random effects in linear and generalized linear models ...🔍
- Efficient Shrinkage Estimation about the Partially Linear Varying ...🔍
- Efficient penalized generalized linear mixed models for variable ...🔍
- Shrinkage in Mixed Effects Models🔍
- Goodness|of|Fit Methods for Generalized Linear Mixed Models🔍
- is shrinkage of coefficients always a good thing in mixed models?🔍
- Mitigating Bias in Generalized Linear Mixed Models🔍
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
In this paper, we propose the shrinkage and pretest estimation approaches to estimate the regression parameters of a GLMM. Basically, we estimate the parameters ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
We show that the pretest and shrinkage estimators have a significantly higher relative efficiency than the classical estimator. Furthermore, we ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
In this paper, we propose the shrinkage and pretest estimation approaches to estimate the regression parameters of a GLMM. Basically, we estimate the parameters ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
The study shows that the shrinkage and pretest estimators are comparable to the LASSO estimator when the number of inactive predictors in the model is ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
In this paper, we consider the pretest, shrinkage, and penalty estimation procedures for generalized linear mixed models when it is conjectured that some of ...
Efficient Shrinkage for Generalized Linear Mixed Models Under ...
By T. Thomson and S. Hossain; Abstract: Abstract In this paper, we consider the pretest, shrinkage, and penalty estimation procedures for generalized ...
Prediction of random effects in linear and generalized linear models ...
We show that, although the predicted values can vary with the assumed distribution, the prediction accuracy, as measured by mean square error, is little ...
Efficient Shrinkage Estimation about the Partially Linear Varying ...
As a natural extension of [5] , which used marginal model for longitudinal data analysis, a random effect method is developed when considering within-subject ...
Efficient penalized generalized linear mixed models for variable ...
To speedup computation, we estimate the variance components and dispersion parameter of the model under the null hypothesis of no genetic effect. Secondly, we ...
Shrinkage in Mixed Effects Models - Michael Clark:
Data nuances will determine the relative amount of 'strength borrowed', but in general, such models provide a good way for the data to speak for ...
sponses, and for producing shrinkage estimators in multipa- rameter problems, such as the construction of maps of small area disease rates (Breslow and ...
is shrinkage of coefficients always a good thing in mixed models?
On further inspection, several of the fitted regression slopes for each site in the linear mixed model are pretty different from those estimated ...
Mitigating Bias in Generalized Linear Mixed Models: The Case for ...
Figure 1 provides a visual representation of shrinkage in the estimation of the cluster-specific random effects, for select model fits, when the ...
Approximate uniform shrinkage prior for a multivariate generalized ...
In Section 3, approximate uniform shrinkage prior for multivariate generalized linear mixed model is derived. Model specification examples are also provided in ...
A result of the shrinkage is that we loose less degrees of freedom when adding a categorical predictor as a random effect, as opposed to a fixed effect. The ...
Fitting Linear Mixed-Effects Models using lme4
The techniques used for generalized linear and nonlinear mixed models will be described separately, in a ... This reduction in fill-in provides more efficient ...
Shrinkage estimation in general linear models
We propose a James–Stein-type shrinkage estimator for the parameter vector in a general linear model when it is suspected that some of the parameters may be ...
Random effects selection in generalized linear mixed models via ...
This paper proposes to add a shrinkage penalty term to the penalized quasi-likelihood (PQL) function of the variance components for selecting effective ...
Efficient penalized generalized linear mixed models for variable ...
Abstract MotivationSparse regularized regression methods are now widely used in genome-wide association studies (GWAS) to address the multiple testing ...
A Combination of Generalized Linear Mixed Model and LASSO ...
Lambda (λ) in the L1 penalty function is a shrinkage parameter (λ) that determines the amount of shrinkage regression coefficient. LASSO reduces ...