Special Issue "Computational Statistical Methods and Extreme Value Theory"

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: 30 April 2020

Special Issue Editor

Guest Editor
Prof. Frederico Caeiro

Departamento de Matemática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa Quinta da Torre, 2829-516 Caparica, Portugal
Website | E-Mail
Interests: applications of statistics of extreme values in risk management; computational statistical methods; probability distribution theory; extreme value theory; non-parametric statistics; statistics of extremes

Special Issue Information

Dear Colleagues,

In the last decades, computers’ power has increased exponentially and has allowed the rise of new and more complex computationally intensive statistical methods. Among these, we may mention, for example, computational algorithms, computational Bayesian methods, data mining, high-dimensional data analysis, machine learning, Monte Carlo simulation, multivariate data analysis, resampling, statistical learning, and stochastic optimization.

Another subject that has gained considerable importance in the past few decades is the Extreme Value Theory. This discipline provides the adequate methodology for the prediction of extreme and rare events, that is, events that occur irregularly with a small probability. We can find applications of the Extreme Value Theory is several fields, such as biostatistics, engineering, finance, geology, hydrology, insurance, meteorology, and public health.

The purpose of this Special Issue is to provide a collection of articles that reflect the latest developments in the fields of Computational Statistical Methods and Extreme Value Theory. Papers providing new methodologies and applications regarding the aforementioned topics are welcome.

Prof. Frederico Caeiro
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. 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 page. Mathematics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Computational algorithms
  • Data analysis
  • Data mining
  • Extreme Value Theory
  • Monte Carlo Simulation
  • Resampling
  • Statistics of Extremes

Published Papers

This special issue is now open for submission.
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