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A simultaneous variable selection methodology for linear mixed models
Juming Pan, Junfeng Shang
Mathematics & Statistics
Research output
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Contribution to journal
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Article
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peer-review
6
Scopus citations
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Dive into the research topics of 'A simultaneous variable selection methodology for linear mixed models'. Together they form a unique fingerprint.
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Mathematics
Linear Mixed Model
69%
Fixed Effects
64%
Variable Selection
56%
Random Effects
56%
Methodology
40%
Newton-Raphson Algorithm
39%
Two-stage Procedure
36%
Clustered Data
34%
Selection Procedures
30%
Computational Efficiency
29%
Optimization Algorithm
29%
Longitudinal Data
29%
Likelihood Function
27%
Model Selection
27%
Penalty
25%
Parameter Estimation
24%
Likelihood
23%
Simulation Study
19%
Modeling
17%
Business & Economics
Variable Selection
100%
Mixed Model
69%
Random Effects
29%
Methodology
27%
Fixed Effects
24%
Longitudinal Data
21%
Model Selection
20%
Parameter Estimation
15%
Simulation Study
13%
Penalty
12%
Modeling
8%
Engineering & Materials Science
Parameter estimation
25%