Connectionists: CFP - Bayesian Time Series Forecasting - A special issue of Forecasting (ISSN 2571-9394)
Cristian Rodriguez Rivero
cristian.rodriguezrivero at gmail.com
Fri Nov 27 06:10:46 EST 2020
Special Issue "Bayesian Time Series Forecasting"
*Journal Forecasting <https://www.mdpi.com/journal/forecasting>* (ISSN
2571-9394)
Dear Colleagues,
We invite you to submit your latest research to this Special Issue on the
topic of Bayesian Time Series Forecasting.
Since the early 1990s, the importance of Bayesian methods to the study of
time series has increased rapidly. This has, no doubt, been ignited by an
increase in appreciation for the advantages that Bayesian inference
provides. It provides us with a formal way to incorporate the prior
information before seeing the data in a natural manner, it fits perfectly
with sequential learning and decision-making, and it directly leads to
exact results from small samples. In addition, the Bayesian paradigm is
particularly suited to prediction, since it takes into account all
parameters and even model uncertainty. Nowadays, with the availability of
large amounts of data, Bayesian analysis remains suitable for solving
forecasting problems by combining all of the information and sources of
uncertainty into a predictive distribution for future values.
Dr. Cristian Rodriguez Rivero
Dr. Leonardo Franco
Dr. Julian Antonio Pucheta
Dr. Hector Daniel Patino
*Guest Editors*
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering
<https://www.mdpi.com/user/register/> and logging in to this website
<https://www.mdpi.com/user/login/>. Once you are registered, click here to
go to the submission form
<https://susy.mdpi.com/user/manuscripts/upload/?journal=forecasting>.
Manuscripts can be submitted until the deadline. All papers will be
peer-reviewed. Accepted papers will be published continuously in the
journal (as soon as accepted) and will be listed together on the special
issue website. Research articles, review articles as well as short
communications are invited. For planned papers, a title and short abstract
(about 100 words) can be sent to the Editorial Office for announcement on
this website.
Submitted manuscripts should not have been published previously, nor be
under consideration for publication elsewhere (except conference
proceedings papers). All manuscripts are thoroughly refereed through a
single-blind peer-review process. A guide for authors and other relevant
information for submission of manuscripts is available on the Instructions
for Authors <https://www.mdpi.com/journal/forecasting/instructions> page.
*Forecasting* <https://www.mdpi.com/journal/forecasting/> is an
international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors
<https://www.mdpi.com/journal/forecasting/instructions> page before
submitting a manuscript. The Article Processing Charge (APC)
<https://www.mdpi.com/about/apc/> for publication in this open access
<https://www.mdpi.com/about/openaccess/> journal is 1000 CHF (Swiss
Francs). Submitted papers should be well formatted and use good English.
Authors may use MDPI's English editing service
<https://www.mdpi.com/authors/english> prior to publication or during
author revisions.
Keywords
- Bayesian inference
- Bayesian method
- time series model
- forecasting
- machine learning
- deep learning
Deadline for manuscript submissions: 28 February 2021.
We look forward to receiving your high-quality submissions!!
Cristian Rodriguez Rivero, Ph.D.,
Electrical&Biomedical Engineer
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Universiteit van Amsterdam
Science Park 904 - Room C2.159 - 1098 XH Amsterdam
LA-CIS Board of Directors and Steering Committee (la-cci.org)
e-mail: crodriguezrivero at ieee.org <crivero at iua.edu.ar>, crivero at iua.edu.ar
crodriguezrivero at ucdavis.edu <crivero at iua.edu.ar>,
c.m.rodriguezrivero at uva.nl <crivero at iua.edu.ar>
url: https://cristianrodriguezrivero.blogspot.com <https://c/>
<https://cristianrodriguezrivero.blogspot.com/>
Cell: +31687697539 <%2B1%20%28530%29%20757-8827>
---------- Forwarded message ---------
From: Cristian Rodriguez Rivero <cristian.rodriguezrivero at gmail.com>
Date: Tue, Dec 3, 2019 at 5:14 PM
Subject: CFP - Advances in Computational Intelligence for Applied Time
Series Forecasting (ACIATSF) - IEEE WCCI 2020
To: <connectionists at mailman.srv.cs.cmu.edu>
<%2B1%20%28530%29%20757-8827>
*CFP Special Session on: **Advances in Computational Intelligence for
applied Time Series Forecasting (ACIATSF)*
*Special Session on “Advances in Computational Intelligence for applied
Time Series Forecasting” (ACIATSF)*
Link: http://www.inv.limac.efn.uncor.edu/?page_id=485
*International Joint Conference on Neural Networks (IJCNN 2020).**19 - 24th
July, 2020, Glasgow (UK) *
https://wcci2020.org/ijcnn- sessions /
<https://wcci2020.org/ijcnn-sessions/>
*Motivation*
Over the past few decades, application of simple statistical procedures
with considerable heuristic or judgmental input was the beginning of
forecasting, then in the 80’s, sophisticated time series models started to
be used by some of the dynamic system operators, and these approaches, were
to become pioneering works in this field.
Soft computing methods including support vectors regression (SVR), fuzzy
inference system (FIS) and artificial neural networks (ANN) to time-series
forecasting (TSF) has been growing rapidly in order to unify the field of
forecasting and to bridge the gap between theory and practice, making
forecasting useful and relevant for decision-making in many fields of the
sciences.
The purpose of this session is to hold smaller, informal meetings where
experts in a particular field of forecasting can discuss forecasting
problems, research, and solutions in the field of automatic control. There
is generally a nominal registration fee associated with attendance.
This session aims to debate in finding solutions for problems facing the
field of forecasting. We wish to hear from people working in different
research areas, practitioners, professionals and academicians involved in
this problematic.
*Scope*
The session seeks to foster the presentation and discussion of innovative
techniques, implementations and applications of different problems that are
Forecasting involved, specially in real-world problems applied to control
and automation.
· Time Series Analysis
· Time Series Forecasting
· Evaluation of Forecasting Methods and Approaches
· Forecasting Applications in Business, Energy and Price Demand,
Hydrology and Rainfall
· Impact of Uncertainty on Decision Making
· Seasonal Adjustment
· Multivariate Time Series Modelling and Forecasting
· Marketing Forecasting
· Economic and Econometric Forecasting
*Organizers:*
Prof. Cristian Rodriguez Rivero, University of Amsterdam,
c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS.
Prof. Alvaro Orjuela Cañón, Universidad del Rods, dorjuelaco at ieee.org, IEEE
CIS, Co-Founder Board of Directors of LA-CIS.
Prof. Héctor Daniel Patiño, Universidad Nacional de San Juan, Argentine,
dpatino at inaut.unsj.edu.ar. IEEE CIS.
Prof. Julián Antonio Pucheta, Universidad Nacional de Córdoba, Argentine,
jpucheta at efn.uncor.edu.
Prof. Gustavo Juarez, Universidad Nacional de Tucumán, Argentine,
juarez.gustavo at ieee.org, IEEE CIS.
Prof. Leonardo Franco, School of Engineering in Informatics, University of
Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS.
*Submission guidelines and special issue:*
Manuscripts should be prepared according to the standard format and page
limit of regular papers according to the IEEE format. All submissions
should follow the specifications of 2020 WCCI. Manuscripts will be
submitted through the 2020 IEEE WCCI paper submission website and will be
subject to the same peer-review procedure as the WCCI regular papers.
Accepted contributions will be part of conference proceedings, which will
be available in IEEEXplore.
*Important Dates*
Paper submission due: 15th Jan. 2020
Notification of acceptance: 15th Mar. 2020
Camera-ready deadline: 15th Apr. 2020
Author registration deadline: 15th Apr. 2020
*Paper Submission: *
https://ieee-cis.org/ conferences / ijcnn2020 / upload. php
<https://www.google.com/url?q=https%3A%2F%2Fieee-cis.org%2Fconferences%2Fijcnn2020%2Fupload.php&sa=D&sntz=1&usg=AFQjCNEaIS1H7_He4_v60yt7PX_GrZsI5Q>
*Information about IEEE WCCI 2020:*
https://wcci2020.org/
<https://sites.google.com/view/ijcnn2020-ctmlcv/home#h.p_QmihAkw4z7Ev>
We look forward to receiving your high-quality submissions and discussing
in our meeting!!
Cristian Rodriguez Rivero, Ph.D., EE
Doctor in Engineering Sciences,
Electrical & Biomedical Engineer.
Faculty of Science, Mathematics and Computer Science
University of Amsterdam
LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org)
Mathematics Research Laboratory applied to Control (LIMAC)
National University of Cordoba
*www.inv.limac.efn.uncor.edu/? page_id = 292
<http://www.inv.limac.efn.uncor.edu/?page_id=292>* ,
email: crodriguezrivero @ ieee. org <crivero at iua.edu.ar>,
crivero at iua.edu.ar
cmrodriguezrivero at uva.nl <crivero at iua.edu.ar>
Cell: +31687697539 <%2B1%20%28530%29%20757-8827>
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