Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Papamichalis, P."'
Autor:
Galaz-Garcia, Fernando, Papamichalis, Marios, Turnbull, Kathryn, Lunagomez, Simon, Airoldi, Edoardo
We provide a general framework for constructing probability distributions on Riemannian manifolds, taking advantage of area-preserving maps and isometries. Control over distributions' properties, such as parameters, symmetry and modality yield a fami
Externí odkaz:
http://arxiv.org/abs/2204.09790
A rich class of network models associate each node with a low-dimensional latent coordinate that controls the propensity for connections to form. Models of this type are well established in the network analysis literature, where it is typical to assu
Externí odkaz:
http://arxiv.org/abs/2109.03343
Probabilistic machine learning models are often insufficient to help with decisions on interventions because those models find correlations - not causal relationships. If observational data is only available and experimentation are infeasible, the co
Externí odkaz:
http://arxiv.org/abs/2105.05395
Disruption management during the airline scheduling process can be compartmentalized into proactive and reactive processes depending upon the time of schedule execution. The state of the art for decision-making in airline disruption management involv
Externí odkaz:
http://arxiv.org/abs/2102.05147
We adopt the statistical framework on robustness proposed by Watson and Holmes in 2016 and then tackle the practical challenges that hinder its applicability to network models. The goal is to evaluate how the quality of an inference for a network fea
Externí odkaz:
http://arxiv.org/abs/2012.02914
Autor:
Marios, Papamichalis
A general Bayesian framework for model selection on random network models regarding their features is considered. The goal is to develop a principle Bayesian model selection approach to compare different fittable, not necessarily nested, models for i
Externí odkaz:
http://arxiv.org/abs/2004.13880
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Some of the most used sampling mechanisms that implicitly leverage a social network depend on tuning parameters; for instance, Respondent-Driven Sampling (RDS) is specified by the number of seeds and maximum number of referrals. We are interested in
Externí odkaz:
http://arxiv.org/abs/1811.07829
Autor:
Panagiotis Papamichalis, Antonios Papadogoulas, Periklis Katsiafylloudis, Apostolia-Lemonia Skoura, Michail Papamichalis, Evangelia Neou, Dimitrios Papadopoulos, Spyridon Karagiannis, Tilemachos Zafeiridis, Dimitris Babalis, Apostolos Komnos
Publikováno v:
International Journal of Infectious Diseases, Vol 97, Iss , Pp 90-93 (2020)
In a proportion of patients, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a multisystem syndrome characterized by hyperinflammation, acute respiratory distress syndrome (ARDS), and hypercoagulability. A 68-year-old man with cor
Externí odkaz:
https://doaj.org/article/dab0334831ca49cd95e2f67716b6fe1c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.