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Linear latent variable models: the lava-package
Klaus Kähler Holst,
Esben Budtz-Jørgensen
Section of Biostatistics
Medical Genetics Program
30
Citations (Scopus)
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Dive into the research topics of 'Linear latent variable models: the lava-package'. Together they form a unique fingerprint.
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Mathematics
Latent Variable Models
92%
Linear Model
62%
Structural Equation Model
47%
Model Specification
47%
Censored Observations
46%
Correlated Data
45%
Clustered Data
45%
Instrumental Variables
44%
Hierarchical Structure
44%
Philosophy
41%
Incomplete Data
41%
Brain
39%
Complex Structure
38%
Standard error
36%
Generalized Equation
34%
Maximum Likelihood Estimation
33%
Software
32%
Human
32%
Covering
29%
Binary
26%
Observation
23%
Modeling
23%
Simulation
22%
Range of data
21%
Estimator
21%
Model
11%
Business & Economics
Latent Variable Models
100%
Maximum Likelihood Estimation
65%
Structural Equation Model
55%
Incomplete Data
50%
Instrumental Variables Estimator
48%
Hierarchical Structure
44%
Standard Error
40%
Model Specification
36%
Inference
29%
Simulation
23%
Software
23%
Modeling
20%