Functional and High-Dimensional Statistics and Related Fields

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Submission Deadline: Sun 28 Feb 2021
Journal Impact Factor : 1.136
Journal Name : Journal of Multivariate Analysis
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/journal-of-multivariate-analysis/call-for-papers/functional-and-high-dimensional-statistics-and-related-field
Journal & Submission Website: https://www.journals.elsevier.com/journal-of-multivariate-analysis

Special Issue Call for Papers:

Functional Data Analysis (FDA) became in the last few years a major topic in Statistics. Nowadays, it is interacting with many other fields in Statistics, including for instance High Dimensional Statistics, Big Data Analsyis, Model and/or Variables selection, Machine Learning, and many other. This Special Issue of the journal JMVA intends to collect new methodological advances in FDA and related topics. All submitted contributions will be reviewed according the standard rules of JMVA. While this Special Issue is linked with the IWFOS (Brno, Czech Republic, iwfos2020.sci.muni.cz) , it is worth being stressed that it is widely open to any contribution. The acceptation criterion will be, according to the reviewing standards of the journal, the novelty and the scientific interest of the contribution.

Timeline

Submission deadline: February 28, 2021

Acceptance deadline: November, 1, 2021

Submission instruction

The submission portal will be ready on Editorial Manager on September 1st, 2020 https://www.editorialmanager.com/JMVA/default.aspx. When you submit your paper, please choose “VSI: FDA” from the “Article Type Name”.

Guest Editor

Prof. German Aneiros
Dept. Matematica, Univ. da Coruna
ganeiros@udc.es

Prof. Ivana Horova
Dept. Mathematics and Statistics; Masaryk University
horova@math.muni.cz

Prof. Marie Huskova
Dept. Proba and Math Stat; Harles University
huskova@karlin.mff.cuni.cz

Prof. Philippe Vieu
Institut de Mathématiques; Univ. Paul Sabatier, Toulouse 3
Philippe.vieu@math.univ-toulouse.fr