[ABE-L] Fwd: [Bayesian Analysis] Call for open discussion

[Hedibert Lopes]

Bom dia a todos,

Para os Bayesianos e quasi-Bayesianos interessados inferência a posteriori
para o número de fatores comuns em análise fatorial.

Abs,
Hedibert


---------- Forwarded message ---------
From: BA Editor Mark Steel <bajournal em bayesian.org>
Date: Wed, Sep 18, 2024 at 9:30 AM
Subject: [Bayesian Analysis] Call for open discussion
To: Prof. Hedibert Lopes <hedibert em gmail.com>


Dear all,

As you know, Bayesian Analysis regularly publishes papers with discussion.
We now welcome *contributed discussions* of the following manuscript:

“*Sparse Bayesian factor analysis when the number of factors is unknown*”,

by Sylvia Frühwirth-Schnatter, Darjus Hosszejni and Hedibert Freitas Lopes.

The manuscript can be found in the Advance publication section of the
journal website or at the following URL: https://doi.org/10.1214/24-BA1423
<https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BCVF1lIPzEbB-2BolE3kZnK9V48Q6rSXnzm7ACvF-2B-2Fkzu9jFGLr6fu3q4vmb8e2hTpM-2F1gP-2BucWNMZHjUlPz4-2F7y4JO5bv-2FLnfVEOqEkztukWNcR_IKY80bsE1fiG840z8YTQUCOCmnKHn-2B8CkQMsORxMAKkSXHfoOT5qCLNv0B1J2YyPsqAklWU4zj-2BdJTIVeanayzdWkn8de7ZHvvT8MQ-2BIKalqFgUnkEfYXMdo40TXVXgPJw2XPyvEGmwn63hu4fsshBLgjz-2FT2X3UAkHBx1UanIA3jc44ZMuAr5EgJlmJtEy0xMxjsfdK4flJ2jbUclLujd8gz8t6woLU4A5me3wK2Cjkk4huhZ7RYNtJWzTqshRcTI2DL-2Bbu6IXhB8405wXn-2FeBfERUOXmRabl9bEgzGaE9yWSwMh5xD-2FcomKGGF8506>

*Abstract*: *There has been increased research interest in the subfield of
sparse Bayesian factor analysis with shrinkage priors, which achieve
additional sparsity beyond the natural parsimonity of factor models. In
this spirit, we estimate the number of common factors in the widely applied
sparse latent factor model with spike-and-slab priors on the factor
loadings matrix. Our framework leads to a natural, efficient and
simultaneous coupling of model estimation and selection on one hand and
model identification and rank estimation (number of factors) on the other
hand. More precisely, by embedding the unordered generalised lower
triangular loadings representation into overfitting sparse factor
modelling, we obtain posterior summaries regarding factor loadings, common
factors as well as the factor dimension via postprocessing draws from our
efficient and customized Markov chain Monte Carlo scheme.*

Please note that the contributions should be no more than two pages in
length (references not included), using the BA LaTeX style: LaTeX Author
Package for publications in Bayesian Analysis journal (e-publications.org)
<https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BCVF1lIPzEbB-2BolE3kZnK9V48Q6rSXnzm7ACvF-2B-2Fkzu9jFGLr6fu3q4vmb8e2hTpM-2F1gP-2BucWNMZHjUlPz4-2F4geMY03Mnen-2FhFiByQtrHtZIt5_IKY80bsE1fiG840z8YTQUCOCmnKHn-2B8CkQMsORxMAKkSXHfoOT5qCLNv0B1J2YyPsqAklWU4zj-2BdJTIVeanayzdWkn8de7ZHvvT8MQ-2BIKalqFgUnkEfYXMdo40TXVXgPJw2XPyvEGmwn63hu4fsshBLgjz-2FT2X3UAkHBx1UanIAFb4agquuxBLEF3EHQtZwLaadvJZsk5UlJmA9prTBfNe5Aznq9rQY4YTNHnagw8lIcG8OkPz2jtijW9tx2DhNuKa-2Fc7qkydEIwFJ4q0K27VczDC9LayW-2B-2BFSkKb7tTTjq57OXfnuyEPt14sc9K3V-2Bn>

The discussions should be submitted to the journal using the Electronic
Journal Management System (EJMS) submission page (
https://www.e-publications.org/ims/submission/
<https://u8042292.ct.sendgrid.net/ls/click?upn=u001.VwavI53V6vcw3NkZZaT5c3BCVF1lIPzEbB-2BolE3kZnK9V48Q6rSXnzm7ACvF-2B-2Fkzu9jFGLr6fu3q4vmb8e2hTpM-2F1gP-2BucWNMZHjUlPz4-2F6JGGMoLi2-2Fi219FHp-2Bnl88OxmA_IKY80bsE1fiG840z8YTQUCOCmnKHn-2B8CkQMsORxMAKkSXHfoOT5qCLNv0B1J2YyPsqAklWU4zj-2BdJTIVeanayzdWkn8de7ZHvvT8MQ-2BIKalqFgUnkEfYXMdo40TXVXgPJw2XPyvEGmwn63hu4fsshBLgjz-2FT2X3UAkHBx1UanIBKeOxi4PmCuGNKJoahoBEZ2J-2BnA4KqurpO79W2H2JqqJ65WhHIqwviY-2FzDyhf7iMa981R6p6Ty2B9ihqUCm8-2Bifmgc7O7Bs-2B7mMYTU8-2Fs6TZvuTf-2Bm6N8lXz41HTzyJE9jQpGHU5fcVxJnfE0F8SO8>)
before *October 20, 2024*. Please choose “contributed discussion” as
manuscript type and clearly indicate that your discussion refers to paper
BA1423 when submitting your contribution.

I look forward to seeing many interesting and thoughtful contributions
appear in the journal.
------------------------------
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-- 
Hedibert Freitas Lopes, PhD
Professor of Statistics and Econometrics
INSPER - Institute of Education and Research
Rua Quatá, 300 - São Paulo, SP 04546-042 Brazil
Phone: +55 11 4504-2343
www.hedibert.org
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