Pages that link to "Item:Q1695631"
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The following pages link to A penalized likelihood method for structural equation modeling (Q1695631):
Displaying 12 items.
- Latent variable selection in structural equation models (Q321933) (← links)
- Parsimonious structural equation models for repeated measures data, with application to the study of consumer preferences (Q418423) (← links)
- Single- and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection (Q823858) (← links)
- Path and directionality discovery in individual dynamic models: a regularized unified structural equation modeling approach for hybrid vector autoregression (Q2066587) (← links)
- A uniform framework for the combination of penalties in generalized structured models (Q2418291) (← links)
- Likelihood Function and Canonical Correlation Analysis of the Peña–Box Model (Q3006276) (← links)
- Penalized Estimating Equations (Q3079084) (← links)
- Comparing generalised maximum entropy and partial least squares methods for structural equation models (Q3648633) (← links)
- A penalized likelihood method for multi‐group structural equation modelling (Q4557863) (← links)
- Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm (Q6126890) (← links)
- Sparse and simple structure estimation via prenet penalization (Q6198871) (← links)
- Sparse inference of structural equation modeling with latent variables for diffusion processes (Q6578486) (← links)
