Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Enrico Gerding"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-22 (2024)
Abstract Reconstructing dynamics of complex systems from sparse, incomplete time series data is a challenging problem with applications in various domains. Here, we develop an iterative heuristic method to infer the underlying network structure and p
Externí odkaz:
https://doaj.org/article/27a0c679926346d89ec931cd01fc4c4b
Publikováno v:
Entropy, Vol 25, Iss 8, p 1152 (2023)
Prediction markets are heralded as powerful forecasting tools, but models that describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in which agents b
Externí odkaz:
https://doaj.org/article/84c02a3f2fe44918b9aaba96c5f0c101
Publikováno v:
Frontiers in Sustainable Cities, Vol 3 (2021)
In this paper, we propose a novel decentralised agent-based mechanism for road intersection management for connected autonomous vehicles. In our work we focus on road obstructions causing major traffic delays. In doing so, we propose the first decent
Externí odkaz:
https://doaj.org/article/b002d6ef491b417faba6def26790e1dc
Publikováno v:
Entropy, Vol 24, Iss 5, p 640 (2022)
Using observational data to infer the coupling structure or parameters in dynamical systems is important in many real-world applications. In this paper, we propose a framework of strategically influencing a dynamical process that generates observatio
Externí odkaz:
https://doaj.org/article/6fe7dc867bd5434ca7aacc0855776631
Publikováno v:
Journal of Finance and Data Science, Vol 4, Iss 2, Pp 120-137 (2018)
The behaviour of time series data from financial markets is influenced by a rich mixture of quantitative information from the dynamics of the system, captured in its past behaviour, and qualitative information about the underlying fundamentals arrivi
Externí odkaz:
https://doaj.org/article/a2ed468139d64d3e8df7945e69956aa7
Publikováno v:
SSRN Electronic Journal.
The growth of online retailing has exceeded expectations over the last few years. This has resulted in high product return rates, which retailers are struggling with due to complex and costly returns processing, logistics, and financial implications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b7a23302710e438dcb6c61ae8f105e9
https://eprints.soton.ac.uk/470696/
https://eprints.soton.ac.uk/470696/
We propose a new measure of systemic financial distress that incorporates idiosyncratic and systemic risks in the financial system network. Using this measure, we develop an integrated stress test of bank liquidity and solvency risks based on the dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcb3e415f29b660be6379f2a5d9e6a8d
https://eprints.soton.ac.uk/456855/
https://eprints.soton.ac.uk/456855/
Publikováno v:
University of Bristol-PURE
In this work, we introduce a novel coalition formation mechanism for ridesharing services. Specifically, we extend the current literature to integrate walking options within the trip. This allows us to effectively account for a user’s value of time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::77bebda0bcb12d54f286508161be1a7f
https://eprints.soton.ac.uk/456553/
https://eprints.soton.ac.uk/456553/
Publikováno v:
Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business.