Zobrazeno 1 - 10
of 478
pro vyhledávání: '"P. Embrechts"'
We study the optimal decisions of agents who aim to minimize their risks by allocating their positions over extremely heavy-tailed (i.e., infinite-mean) and possibly dependent losses. The loss distributions of our focus are super-Pareto distributions
Externí odkaz:
http://arxiv.org/abs/2403.20171
Autor:
De Boi, Ivan, Embrechts, Elissa, Schatteman, Quirine, Penne, Rudi, Truijen, Steven, Saeys, Wim
Visuospatial neglect is a disorder characterised by impaired awareness for visual stimuli located in regions of space and frames of reference. It is often associated with stroke. Patients can struggle with all aspects of daily living and community pa
Externí odkaz:
http://arxiv.org/abs/2310.13701
Autor:
Valapu, Sulyab Thottungal, Sarkar, Tamoghna, Coleman, Jared, Avyukt, Anusha, Embrechts, Hugo, Torfs, Dimitri, Minelli, Michele, Krishnamachari, Bhaskar
We introduce DARSAN, a decentralized review system designed for Non-Fungible Token (NFT) marketplaces, to address the challenge of verifying the quality of highly resalable products with few verified buyers by incentivizing unbiased reviews. DARSAN w
Externí odkaz:
http://arxiv.org/abs/2307.15768
We find the perhaps surprising inequality that the weighted average of independent and identically distributed Pareto random variables with infinite mean is larger than one such random variable in the sense of first-order stochastic dominance. This r
Externí odkaz:
http://arxiv.org/abs/2208.08471
Autor:
Elissa Embrechts, Jonas Schröder, Tanja C. W. Nijboer, Charlotte van der Waal, Christophe Lafosse, Steven Truijen, Wim Saeys
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Visuospatial neglect (VSN) has been suggested to limit standing balance improvement post-stroke. However, studies investigating this association longitudinally by means of repeated within-subject measurements early post-stroke are
Externí odkaz:
https://doaj.org/article/ba4a4664ff714bd0b2098440205f7a17
Autor:
Jonas Schröder, Laetitia Yperzeele, Elissa Embrechts, Renata Loureiro-Chaves, Ann Hallemans, Christophe Lafosse, Steven Truijen, Gert Kwakkel, Wim Saeys
Publikováno v:
Frontiers in Stroke, Vol 3 (2024)
BackgroundLower limb motor recovery, including abnormal muscle synergies, occurs mainly within the first 5–8 weeks after a stroke. This suggests the importance of delivering impairment-focused therapies, such as therapeutic robots that promote symm
Externí odkaz:
https://doaj.org/article/f8bc3d85d5b54f4bb61de038a89caab8
Akademický článek
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Autor:
Ling Wang, Joshua Goldwag, Megan Bouyea, Jonathan Barra, Kailie Matteson, Niva Maharjan, Amina Eladdadi, Mark J. Embrechts, Xavier Intes, Uwe Kruger, Margarida Barroso
Publikováno v:
iScience, Vol 26, Iss 7, Pp 107229- (2023)
Summary: Genomics and proteomics have been central to identify tumor cell populations, but more accurate approaches to classify cell subtypes are still lacking. We propose a new methodology to accurately classify cancer cells based on their organelle
Externí odkaz:
https://doaj.org/article/17d2e068044a44cfb444625275b68a72
We study issues of robustness in the context of Quantitative Risk Management and Optimization. We develop a general methodology for determining whether a given risk measurement related optimization problem is robust, which we call "robustness against
Externí odkaz:
http://arxiv.org/abs/1809.09268
We present a regression technique for data-driven problems based on polynomial chaos expansion (PCE). PCE is a popular technique in the field of uncertainty quantification (UQ), where it is typically used to replace a runnable but expensive computati
Externí odkaz:
http://arxiv.org/abs/1808.03216