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Model selection in linear mixed-effect models (Q2234730)

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Language	Label	Description	Also known as
English	Model selection in linear mixed-effect models	scientific article

Statements

scholarly article

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Model selection in linear mixed-effect models (English)

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Antonella Plaia

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AStA. Advances in Statistical Analysis

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publication date

19 October 2021

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zbMATH Keywords

linear mixed model

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mixed model selection

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AIC

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BIC

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MCP

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Lasso

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shrinkage methods

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MDL

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1007/s10182-019-00359-z

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Clustering high dimension, low sample size data using the maximal data piling distance

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Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models

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Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions

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Predictive Cross-validation for the Choice of Linear Mixed-Effects Models with Application to Data from the Swiss HIV Cohort Study

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Statistics for high-dimensional data. Methods, theory and applications.

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Random Effects Selection in Linear Mixed Models

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Inference for mixed models of ANOVA type with high-dimensional data

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Information methods for model selection in linear mixed effects models with application to HCV data

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Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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Variable selection in linear mixed effects models

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Robust Variable Selection in Linear Mixed Models

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A Statistical View of Some Chemometrics Regression Tools

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Pathwise coordinate optimization

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Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects

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Strictly Proper Scoring Rules, Prediction, and Estimation

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On the behaviour of marginal and conditional AIC in linear mixed models

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Conditional Akaike information criterion in the Fay-Herriot model

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Counting degrees of freedom in hierarchical and other richly-parameterised models

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Shrinkage estimation in linear mixed models for longitudinal data

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Fixed and Random Effects Selection in Mixed Effects Models

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Fence methods for mixed model selection

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A simplified adaptive fence procedure

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Modified conditional AIC in linear mixed models

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Conditional Akaike information under covariate shift with application to small area estimation

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Conditional and unconditional methods for selecting variables in linear mixed models

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Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models

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Variable selection for linear mixed models with applications in small area estimation

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A new test for random effects in linear mixed models with longitudinal data

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Minimum description length principle for linear mixed effects models

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Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data

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A note on conditional AIC for linear mixed-effects models

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General ridge predictors in a mixed linear model

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Small area estimation with spatio-temporal Fay-Herriot models

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Model selection in linear mixed models

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Restricted fence method for covariate selection in longitudinal data analysis

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An evaluation of ridge estimator in linear mixed models: an example from kidney failure data

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Adaptive LASSO for linear mixed model selection via profile log-likelihood

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A simultaneous variable selection methodology for linear mixed models

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Model selection in linear mixed effect models

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Selecting mixed-effects models based on a generalized information criterion

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Stochastic complexity and modeling

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Selection of terms in random coefficient regression models

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Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm

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Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization

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A PARAMETER SUBSET SELECTION ALGORITHM FOR MIXED-EFFECTS MODELS

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Estimating the dimension of a model

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A graphical model selection tool for mixed models

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Bootstrap variants of the Akaike information criterion for mixed model selection

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Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures

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Conditional information criteria for selecting variables in linear mixed models

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Further analysis of the data by Akaike's information criterion and the finite corrections

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Variable Selection in Linear Mixed Models Using an Extended Class of Penalties

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Conditional Akaike information for mixed-effects models

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Identifiability of covariance parameters in linear mixed effects models

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Model Selection for Linear Mixed Models Using Predictive Criteria

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Modeling Longitudinal Data

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Conditional conceptual predictive statistic for mixed model selection

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New variable selection for linear mixed-effects models

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Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-effects Models

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The Adaptive Lasso and Its Oracle Properties

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Regularization and Variable Selection Via the Elastic Net

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1007/S10182-019-00359-Z

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Sitelinks

Mathematics(1 entry)

mardi Publication:2234730

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