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pro vyhledávání: '"Giorgi, Emanuele"'
Autor:
Kyomuhangi, Irene, Abeku, Tarekegn A., Kirby, Matthew J., Tesfaye, Gezahegn, Giorgi, Emanuele
Diagnosis is often based on the exceedance or not of continuous health indicators of a predefined cut-off value, so as to classify patients into positives and negatives for the disease under investigation. In this paper, we investigate the effects of
Externí odkaz:
http://arxiv.org/abs/2002.06032
Publikováno v:
In Technology in Society November 2023 75
Publikováno v:
In Scientific African November 2023 22
Kernel methods are an incredibly popular technique for extending linear models to non-linear problems via a mapping to an implicit, high-dimensional feature space. While kernel methods are computationally cheaper than an explicit feature mapping, the
Externí odkaz:
http://arxiv.org/abs/1902.08679
In this paper, we develop a computationally efficient discrete approximation to log-Gaussian Cox process (LGCP) models for the analysis of spatially aggregated disease count data. Our approach overcomes an inherent limitation of spatial models based
Externí odkaz:
http://arxiv.org/abs/1901.09551
Akademický článek
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Autor:
Chacon, Erick, Parry, Luke, Giorgi, Emanuele, Torres, Patricia, Orellana, Jesem, Taylor, Benjamin M.
Item factor analysis is widely used for studying the relationship between a latent construct and a set of observed variables. One of the main assumptions of this method is that the latent construct or factor is independent between subjects, which mig
Externí odkaz:
http://arxiv.org/abs/1809.03905
Multiple diagnostic tests are often used due to limited resources or because they provide complementary information on the epidemiology of a disease under investigation. Existing statistical methods to combine prevalence data from multiple diagnostic
Externí odkaz:
http://arxiv.org/abs/1808.03141
In this paper we set out general principles and develop geostatistical methods for the analysis of data from spatio-temporally referenced prevalence surveys. Our objective is to provide a tutorial guide that can be used in order to identify parsimoni
Externí odkaz:
http://arxiv.org/abs/1802.06359