[Forum SIS] METRON: Special Issue on "Latent Variable Models for the analysis of socio-economic data”

[Pierpaolo Brutti]

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METRON – Call for Papers for the Special Issue
“Latent Variable Models for the analysis of socio-economic data”
Guest Editors: Marco Alfó and Francesco Bartolucci
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Latent variable (LV) models represent an important stream of the
statistical literature with application in many fields, such as
economics, medicine, psychology, and sociology, and are related to
other important classes, such as that of finite mixture models. LV
models are naturally applied whenever unobserved heterogeneity between
sample units has to be taken into account, typically in a multilevel
or longitudinal study, or the characteristic of interest (e.g.
quality-of-life of patients suffering from a certain disease) is not
directly observable.

The special issue is intended to cover approaches based either on
continuous or discrete latent variable models, with also particular
interest in approaches that combine the use of continuous and discrete
latent variables within the same model. The focus is on:

-   novel statistical approaches in terms of modelling formulations
and/or estimation methods;
-   up-to-date case studies which address the application of such
models to socio-economic data;
-   critical review papers with substantive insights on definition,
estimation, and inference for the models of interest.

We are enthusiastic of the opportunity offered by the special issue to
disseminate LV models in the scientific community, not only among
statisticians.
Authors who are not sure whether their problems and ideas fall under
the call for paper may preliminarily contact the Editors with an
initial draft of the paper.

All submitted papers under this call will undergo the standard review
process of the journal. The deadline for the present call is November
30th, 2014.

The special issue is handled through the website of the Journal; the
editing and the review process will be handled by the Special Issue
Editors Marco Alfó (Sapienza, University of Rome,
email:marco.alfo at uniroma1.it) and Francesco Bartolucci (University of
Perugia, IT, email: bart at stat.unipg.it).


Please submit your manuscript at http://www.editorialmanager.com/tron/

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