Computational Statistics - Call for Papers: High-dimensional Data Analysis and Visualisation to Assess Service Quality

                                                

                                  COMPUTATIONAL STATISTICS 

                                              CALL FOR PAPERS

                                               Special Issue on

High-dimensional Data Analysis and Visualisation to Assess Service Quality

We are inviting submissions to the special issue of the Computational Statistics Journal dedicated to high-dimensional data analysis and visualisation techniques for service quality assessment.

Digital world transformation and rapid advances in Information Technologies are bringing new challenges and opportunities for statisticians. This special issue welcomes submissions focusing on modern statistical methodologies, with emphasis on computational aspects, arising from the service evaluation of a human-centred society with applications areas such as Sustainability, Health, Wellness, Sport, Tourism, Transportation, Education, Environment and Innovation, and highlighting how statistical thinking, design and analysis may be of use to a Society 5.0.

Papers in the following areas are particularly welcome, as long as they pertain to the general theme of the special issue: Visualisation techniques; Classification; Discrimination; Dependence models; Prediction; GLMMs; Big Data, High-dimensional, Multivariate and Multi-way data analysis; Hypothesis testing and model selection; Nonparametric modelling; Statistical Learning.

All submissions must contain original unpublished work not being considered for publication elsewhere. Submissions will be refereed according to the standard procedures for Computational Statistics Journal.

Information about the journal can be found at Computational Statistics | Home (springer.com) (this opens in a new tab)

The deadline for submissions is May, 30th 2022. However, papers can be submitted at any time and they will enter the editorial system immediately.

Papers for the special issue should be submitted to https://www.editorialmanager.com/cost/default.aspx (this opens in a new tab)

In the Editorial Manager tool please choose the special issue on “High-dimensional Data Analysis and Visualisation to Assess Service Quality”. For further information, please send an email to: enrico.ripamonti@unibs.it

The special issue editors:

Cathy W. S. Chen

Lombardo Rosaria

Enrico Ripamonti