scispace - formally typeset
A

Athanasios A. Pantelous

Researcher at Monash University

Publications -  230
Citations -  1861

Athanasios A. Pantelous is an academic researcher from Monash University. The author has contributed to research in topics: Matrix pencil & Matrix (mathematics). The author has an hindex of 17, co-authored 210 publications receiving 1320 citations. Previous affiliations of Athanasios A. Pantelous include Athens University of Economics and Business & Monash University, Clayton campus.

Papers
More filters
Journal Article

Higher-order linear matrix descriptor differential equations of apostol-kolodner type

TL;DR: In this article, a class of linear rectangular matrix de- scriptor dierential equations of higher-order whose co-ecients are square con- stant matrices is studied.
Journal ArticleDOI

Analysis of Correlation Based Networks Representing DAX 30 Stock Price Returns

TL;DR: Overall, it is found that network based representations of correlations within a broad market index are useful in providing insights about the growth dynamics of an economy.
Journal ArticleDOI

A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms

TL;DR: A fuzzy multi-objective non-linear chance-constrained programming model with newly-defined reliability and cost criteria and constraints is formulated to obtain satisfying schedules for wind turbine maintenance.
Journal ArticleDOI

Hidden interactions in financial markets

TL;DR: The methodology proposed in this paper does not only allow distinction between positive and negative interdependence, but additionally identifies a yet unexplored form of interaction that is referred to as “dark causality,” which is suggested to dominate the sovereign CDS network.
Journal ArticleDOI

Modeling earthquake risk via extreme value theory and pricing the respective catastrophe bonds

TL;DR: In this article, the authors analyze the historical data of the earthquakes in the boarder area of Greece and then produce a reliable model for the risk dynamics of the magnitude of earthquakes, using advanced techniques from the Extreme Value Theory.