Discrete-valued time series
Special Issue Reprint
Publication date
2024-03
Document type
Zeitschriftenheft oder Sonderheft
Editor
Organisational unit
Publisher
MDPI
Series or journal
Entropy
ISSN
Periodical volume
Special Issue
Contains the following part
Part of the university bibliography
✅
Language
English
Abstract
The analysis and modeling of time series has been an active research area for more than 100 years, with the main focus on time series having a continuous range consisting of real numbers or real vectors. It took until the 1980s for the first papers on discrete-valued time series to appear. In the 2000s, a rapid increase in research activity was noted, but only in the last few years was a certain maturity and consolidation of the area of discrete-valued time series observed. This reprint is a collection of articles on a wide range of topics on discrete-valued time series (especially count time series), covering stochastic models and methods for their analysis, univariate and multivariate time series, applications of time series methods to risk analysis, statistical process control, and many more. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
Description
This is a reprint of articles from the Special Issue published online in the open access journal Entropy (ISSN 1099-4300) (available at: https://www.mdpi.com/journal/entropy/special issues/DiscreteValued Time Series)
This special issue belongs to the section "Information Theory, Probability and Statistics".
This special issue belongs to the section "Information Theory, Probability and Statistics".
The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) license.
Version
Published version
Access right on openHSU
Metadata only access