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pro vyhledávání: '"Mogensen, P."'
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Akademický článek
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Autor:
Ramírez-Arroyo, Alejandro, Sørensen, Troels B., Beltoft, Peter, Christiansen, Henrik, Valenzuela-Valdés, Juan F., Mogensen, Preben
Publikováno v:
IEEE Wireless Communications Letters, 2024
This letter presents a measurement campaign carried out in an FR2 urban outdoor environment in a live experimental network deployment. The radio propagation analysis from a physical perspective at 26 GHz is essential for the correct deployment and di
Externí odkaz:
http://arxiv.org/abs/2404.05477
Autor:
Manten, Georg, Casolo, Cecilia, Ferrucci, Emilio, Mogensen, Søren Wengel, Salvi, Cristopher, Kilbertus, Niki
Inferring the causal structure underlying stochastic dynamical systems from observational data holds great promise in domains ranging from science and health to finance. Such processes can often be accurately modeled via stochastic differential equat
Externí odkaz:
http://arxiv.org/abs/2402.18477
Publikováno v:
ZooKeys, Vol 722, Iss , Pp 101-135 (2017)
Despite being characterized by some of the most threatened forest ecosystems of Mesoamerica, the Nicoya Peninsula is among the least known regions of neotropical Costa Rica in terms of its birdlife. Within this region, in the framework of an ongoing
Externí odkaz:
https://doaj.org/article/860ecf678c124bd78625c9e3b3a73b76
Akademický článek
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Causal discovery outputs a causal structure, represented by a graph, from observed data. For time series data, there is a variety of methods, however, it is difficult to evaluate these on real data as realistic use cases very rarely come with a known
Externí odkaz:
http://arxiv.org/abs/2310.18654
Autor:
Mogensen, Søren Wengel
Graphical models use graphs to represent conditional independence structure in the distribution of a random vector. In stochastic processes, graphs may represent so-called local independence or conditional Granger causality. Under some regularity con
Externí odkaz:
http://arxiv.org/abs/2310.13796
We study time-dependent mediators in survival analysis using a treatment separation approach due to Didelez [2019] and based on earlier work by Robins and Richardson [2011]. This approach avoids nested counterfactuals and crossworld assumptions which
Externí odkaz:
http://arxiv.org/abs/2310.04709
Publikováno v:
Proceedings of the 30th International Symposium on Temporal Representation and Reasoning (TIME 2023), Leibniz International Proceedings in Informatics (LIPIcs), 8:1-8:21
Interacting systems of events may exhibit cascading behavior where events tend to be temporally clustered. While the cascades themselves may be obvious from the data, it is important to understand which states of the system trigger them. For this pur
Externí odkaz:
http://arxiv.org/abs/2308.10606