Inferring time of infection from field data using dynamic models of antibody decay

Autor: Benny Borremans, Riley O. Mummah, Angela H. Guglielmino, Renee L. Galloway, Niel Hens, K. C. Prager, James O. Lloyd‐Smith

Publikováno v: Methods in Ecology and Evolution, Vol 14, Iss 10, Pp 2654-2667 (2023)

Abstract Studies of infectious disease ecology would benefit greatly from knowing when individuals were infected, but estimating this time of infection can be challenging, especially in wildlife. Time of infection can be estimated from various types

Externí odkaz: https://doaj.org/article/1c47a1b5bf4c459aa16541741cc994e0

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Audio-Visual Analysis In the Framework of Humans Interacting with Robots

Autor: Gebru, Israel Dejene

Publikováno v: Computer Vision and Pattern Recognition [cs.CV]. Université Grenoble Alpes, 2018. English
Computer Vision and Pattern Recognition [cs.CV]. Université Grenoble Alpes, 2018. English. ⟨NNT : ⟩

In recent years, there has been a growing interest in human-robot interaction (HRI), with the aim to enable robots to naturally interact and communicate with humans. Natural interaction implies that robots not only need to understand speech and non-v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::45b80090dd0361ecb81bda228cab1641
https://hal.inria.fr/tel-01774233/document

A Robust Bayesian Dynamic Linear Model for Latin-American Economic Time Series: 'The Mexico and Puerto Rico Cases'

Autor: Jairo Fuquene, Luis R. Pericchi, Marta Álvarez

The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, Robust Bayesian Dynamic Models (RBDMs) do not assume a regular pattern or stability of the underlying system bu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b019a5a77bd1373ba3a794e1ad934f
http://arxiv.org/abs/1303.6073

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