CALL FOR PAPERS
2nd Special Issue on BAYESIAN METHODS IN STATISTICS AND ECONOMETRICS

Econometrics and Statistics
http://www.elsevier.com/locate/ecosta

We are inviting submissions for a 2nd special issue of the journal
Econometrics and Statistics dealing with Bayesian methods in
statistics and econometrics.  Bayesian methods are more and more
frequently used to effectively tackle complex and realistic models and
problems. Many new approaches are appearing and becoming highly
popular; including ABC, Variational Bayes, MAD Bayes, among others,
yet their properties are not well understood. The so-called big data
is additionally both posing opportunities and challenges to
computational Bayesian methods.  This is particularly relevant in the
field of econometrics.

The primary aim of the issue is to illustrate and showcase recent
advances in Bayesian methods and highlight their application to
empirical problems in a broad range of areas, such as astronomy,
biology, and medicine among many others. Bayesian econometrics has its
own section within this special issue. Contributions in finance and
economics that develop novel Bayesian statistical approaches are
strongly encouraged.

In order to be considered for publication the papers should have a
significant novel Bayesian component. Original methodological
contributions inspired in applications are of interest. Papers
dealing, directly or indirectly, with theoretical, computational and
technical elements will be particularly encouraged.  Papers which
apply known techniques to a range of models are discouraged. Authors
who are uncertain about the suitability of their papers should contact
the editors. All submissions must contain original unpublished work
that is not being considered for publication elsewhere.

Submissions will be refereed according to standard procedures for
Econometrics and Statistics. Information about the journal can be
found at http://www.elsevier.com/locate/ecosta.

The deadline for submissions is 30 November 2021.  However, papers can
be submitted at any time and once they are received, they will enter
the editorial system immediately.

Papers for the special issue should be submitted using the Elsevier
Electronic Submission tool EM:
https://www.editorialmanager.com/ecosta/.
In the EM, please choose the special issue on Bayesian methods in
econometrics and statistics.

The special issue editors:

Michele Guindani, University of California, Irvine, USA.
Email: michele.guindani@me.com

Daniel Henderson, Newcastle University, UK.
Email: daniel.henderson@newcastle.ac.uk

Maria Kalli, University of Kent, UK.
M.Kalli-672@kent.ac.uk

Yasuhiro Omori, University of Tokyo, Japan.
E-mail: omori@e.u-tokyo.ac.jp