[ABE-L] Call for papers: Entropy Special Issue on Inductive Inference: Fundamentals and Applications in Statistical Environments

[Adriano Polpo de Campos]

Call for papers:

Special Issue on "Inductive Inference: Fundamentals and Applications  
in Statistical Environments" for Entropy (Impact Factor 2.305, 2017;  
ISSN 1099-4300; http://www.mdpi.com/journal/entropy).

A short prospectus is given at the volume website:
https://www.mdpi.com/journal/entropy/special_issues/Inductiv_Inference

The demand for data analysis is increasing day by day and this is  
reflected in the large number of jobs and the high number of published  
articles. New solutions to the problems that arise in data  
manipulation are like a farm that had a large-scale production of  
livestock that has been transformed into a rabbit farm. A new era is  
coming! The dazzle is so great that many of us do not bother to check  
the suitability of the solutions for the problems that they are  
intended to solve. Current and future challenges require greater care  
in the creation of new solutions satisfying the rationality of each  
type of problem. Labels such as big data, data science, machine  
learning, statistical learning, and artificial intelligence are  
demanding more sophistication in the fundamentals and in the way that  
they are being applied.

This Special Issue is dedicated to solutions for and discussions of  
data analysis problems. For example, considering the large amount of  
data related to an IoT (internet of things) problem, or even  
considering the small sample size of a biological study with huge  
dimensions, one must show how to properly understand the data, how to  
develop the best process of analysis and, finally, to illustrate how  
to apply the solutions that were obtained theoretically. We seek to  
respond to these challenges and publish papers that consider the  
reasons for a solution and how to apply it. Papers can cover existing  
methodologies by elucidating questions related to the reasons for  
their selection and their uses.

We are open to innovative solutions and theoretical works that justify  
the use of a method and to applied works that describe a good  
implementation of a theoretical method. All researchers interested in  
inductive inference topics are welcome to submit papers.

This special issue will be fully Open Access. More information is available at
http://www.mdpi.com/about/openaccess/

Entropy (ISSN 1099-4300), an international and interdisciplinary  
journal of entropy and information studies, publishes reviews, regular  
research papers and short notes. Our aim is to encourage scientists to  
publish as much as possible their theoretical and experimental  
details. There is no restriction on the length of the papers. If there  
are computation and the experiment, the details must be provided so  
that the results can be reproduced.

The official deadline for submission is 31 Aug 2019. However, you may  
send your manuscript at any time before the deadline. We can organize  
a very fast peer-review, if accepted, the paper will be published  
immediately.


Please do not hesitate to contact us if you have any further questions.

Dr. Carlos Alberto De Bragança Pereira (cpereira em ime.usp.br)
Dr. Adriano Polpo (polpo em ufscar.br)
Dr. Agatha Rodrigues (agatha.srodrigues em gmail.com)
Guest Editors