Special Issue "New Trends in Statistical Computing and Data Science"

Submission Deadline: 31 October 2021
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Guest Editors
Dr. Christophe Chesneau, Université de Caen, France
Dr. Hasssan Doosti, Macquarie University, Australia

Summary

The interface between computer science and statistics has developed considerably in recent years, with exponential progress in the fields of data analysis, stochastic modeling, machine learning, econometrics, simulation, algorithms, classification and networks. Innovative discoveries in this field appear every day, opening new scientific horizons to the modern world. This is particularly true in the post year 2020  with the treatment of the large volumes of data that feed the daily activity of big companies, and the development of artificial intelligence including advanced machine learning techniques, especially the so-called Deep Learning.

This special issue aims to publish the most significant articles in this direction, that is to say the current progress of statistical computing and data science. Novelty, high quality and importance are the triptych of the special issue.

The scope includes, but is not limited to, the following overlapping topics: Artificial intelligence; Big data; Classification; Computational statistics; Dimension reduction: Distribution theory; Econometrics; Inference; Machine learning; Networks; Simulation; Statistical algorithms; Stochastic modelling.