Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Miscouridou, X."'
Publikováno v:
Bernoulli. 29
Infinite-activity completely random measures (CRMs) have become important building blocks of complex Bayesian nonparametric models. They have been successfully used in various applications such as clustering, density estimation, latent feature models
Autor:
Brizzi, A, Whittaker, C, Servo, LMS, Hawryluk, I, Prete, CA, De Souza, WM, Aguiar, RS, Araujo, LJT, Bastos, LS, Blenkinsop, A, Buss, LF, Candido, D, Castro, MC, Costa, SF, Croda, J, De Souza Santos, AA, Dye, C, Flaxman, S, Fonseca, PLC, Geddes, VEV, Gutierrez, B, Lemey, P, Levin, AS, Mellan, T, Bonfim, DM, Miscouridou, X, Mishra, S, Monod, M, Moreira, FRR, Nelson, B, Pereira, RHM, Ranzani, O, Schnekenberg, RP, Semenova, E, Sonnabend, R, Souza, RP, Xi, X, Sabino, EC, Faria, NR, Bhatt, S, Ratmann, O
The SARS-CoV-2 Gamma variant spread rapidly across Brazil, causing substantial infection and death waves. We use individual-level patient records following hospitalisation with suspected or confirmed COVID-19 to document the extensive shocks in hospi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::97a24fbccde256d876e3c39c34d9742f
http://hdl.handle.net/10044/1/99465
http://hdl.handle.net/10044/1/99465
Autor:
Miscouridou, X
Bayesian Statistics provide us with a powerful approach to model real-world phenomena and quantify the uncertainty therein by treating unknown factors as random. The Bayesian paradigm prescribes quantifying the prior knowledge about some state of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::72fc6d96b17e74b9440bc514c1f10a06
https://ora.ox.ac.uk/objects/uuid:c8917a5f-139c-4158-a5ba-26470170905f
https://ora.ox.ac.uk/objects/uuid:c8917a5f-139c-4158-a5ba-26470170905f
Autor:
Brizzi, A, Whittaker, C, Servo, LMS, Hawryluk, I, Prete Jr, CA, De Souza, WM, Aguiar, RS, Araujo, LJT, Bastos, LS, Blenkinsop, A, Buss, LF, Candido, D, Castro, MC, Costa, SF, Croda, J, De Souza Santos, A, Dye, C, Flaxman, S, Fonseca, PLC, Geddes, VEV, Gutierrez, B, Lemey, P, Levin, AS, Mellan, T, Bonfim, DM, Miscouridou, X, Mishra, S, Monod, M, Moreira, FRR, Nelson, B, Pereira, RHM, Ranzani, O, Schnekenberg, RP, Semenova, E, Sonnabend, R, Souza, RP, Xi, X, Sabino, EC, Faria, NR, Bhatt, S, Ratmann, O
The SARS‐CoV‐2 Gamma variant spread rapidly across Brazil, causing substantial infection and death wa ves. We use individual‐level patient records following hospitalisation with suspected or confirmed COVID‐19 to document the extensive shocks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb980eb13f333bec2c39b3c076b3f00
Autor:
Mishra, S, Mindermann, S, Sharma, M, Whittaker, C, Mellan, T, Wilton, T, Klapsa, D, Mate, R, Fritzsche, M, Zambon, M, Ahuja, J, Howes, A, Miscouridou, X, Nason, G, Ratmann, O, Leech, G, Fabienne Sandkühler, J, Rogers-Smith, C, Vollmer, M, Unwin, H, Gal, Y, Chand, M, Gandy, A, Martin, J, Volz, E, Ferguson, N, Bhatt, S, Brauner, J, Flaxman, S
Since its emergence in Autumn 2020, the SARS-CoV-2 Variant of Concern (VOC) B.1.1.7 rapidly became the dominant lineage across much of Europe. Simultaneously, several other VOCs were identified globally. Unlike B.1.1.7, some of these VOCs possess mut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8f60139a5262082be3eeff19b0a59f
http://hdl.handle.net/10044/1/88876
http://hdl.handle.net/10044/1/88876
Autor:
Hawryluk, I, Hoeltgebaum, H, Mishra, S, Miscouridou, X, Schnekenberg, RP, Whittaker, C, Vollmer, M, Flaxman, S, Bhatt, S, Mellan, TA
Publikováno v:
37th Conference on Uncertainty in Artificial Intelligence, UAI 2021
Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide range of fields. An important example of this problem is the nowcasting of COVID-19 mortality:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f2b8496f6c3a3020bc05eb5c5d0877
We propose a novel class of network models for temporal dyadic interaction data. Our goal is to capture a number of important features often observed in social interactions: sparsity, degree heterogeneity, community structure and reciprocity. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b921fded783bebf129b17ec768f71605
https://ora.ox.ac.uk/objects/uuid:36af3bde-f038-4dc5-8f52-261bdd257021
https://ora.ox.ac.uk/objects/uuid:36af3bde-f038-4dc5-8f52-261bdd257021
Akademický článek
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Publikováno v:
Meccanica
We solve analytically the cessation flows of a Newtonian fluid in circular and plane Couette geometries assuming that wall slip occurs provided that the wall shear stress exceeds a critical threshold, the slip yield stress. In steady-state, slip occu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2446a7192b4a3f63d7a3e942fa44839
http://gnosis.library.ucy.ac.cy/handle/7/57494
http://gnosis.library.ucy.ac.cy/handle/7/57494
Akademický článek
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