Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis
type: Item
instance of: scholarly article
title: Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis
zbMATH Open document ID: 1537.91165
author: Marios Tsioufis
author: Antonios Fytopoulos
author: Dimitra Kalaitzi
author: Thomas A. Alexopoulos
published in: Annals of Operations Research
publication date: 2024-05-30T00:00:00Z
Mathematics Subject Classification ID: 91B60
Mathematics Subject Classification ID: 91B72
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 7856423
zbMATH Keywords: maritime piracy
zbMATH Keywords: AHP
zbMATH Keywords: spatio-temporal data analysis
zbMATH Keywords: time-varying Granger causality
zbMATH Keywords: oil tankers
MaRDI profile type: Publication
cites work: Investigating Causal Relations by Econometric Models and Cross-spectral Methods
cites work: Models and computational algorithms for maritime risk analysis: a review
cites work: TESTING FOR MULTIPLE BUBBLES: HISTORICAL EPISODES OF EXUBERANCE AND COLLAPSE IN THE S&P 500
cites work: The analytic hierarchy process—what it is and how it is used
cites work: Change Detection and the Causal Impact of the Yield Curve
cites work: Analytic hierarchy process: an overview of applications
cites work: Applied Spatial Statistics for Public Health Data
DOI: 10.1007/S10479-023-05352-Z
description: scientific article; zbMATH DE number 7856423