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To address these limitations, in the current study we applied Latent Growth Mixture Modelling (LGMM) in a prospective population-based sample to identify trajectories of depression following spousal and child bereavement in later life.
Depaire et al. [2] applied latent class clustering on two road user traffic accident data from 1997 to 1999 of Belgium which divides the accident data into seven clusters.
To do this, we applied latent profile analysis (LPA) (30).
We applied latent variable models for factor analysis of ordinal/categorical data to a 42-item version of Ryff's psychological well-being scales administered to women aged 52 in a UK birth cohort study (n = 1,179).
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Normal users are recommended items obtained by applying Latent Dirichlet Allocation (LDA) to users within each cluster.
To examine these hypotheses, we use data from the German Socio-Economic Panel (SOEP) for birth cohorts 1955-1984 applypplatentent growth curve analyses.
The approaches used in the literature to deal with this problem vary from excluding those respondents to using applying latent class models to endogenously allow for different preference structures.
We apply Latent Class Analysis to segment consumers in Australia according to their allocation of the 2009 government rebate, which was paid as a tax bonus, across a broad set of expenditure categories.
Applying Latent Class Modelling has enabled us to segment the market and profile the segments.
Specifically, we apply latent topic modeling to short, text narratives written by police about individual crime events.
In addition, the proposed multirobot visual support system estimates a situation by applying Latent Dirichlet Allocation (LDA) to the results of object recognition.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com