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Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2945077
Abstract: Latent biomarkers are quantities that strongly relate to patient's disease diagnosis and prognosis, but are difficult to measure or even not directly observable. The objective of this study was to develop, analyze and validate new…
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Keywords:
bayesian inference;
inference latent;
latent biomarkers;
priors bayesian ... See more keywords
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Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0192819
Abstract: Understanding patterns of species occurrence and the processes underlying these patterns is fundamental to the study of ecology. One of the more commonly used approaches to investigate species occurrence patterns is occupancy modeling, which can…
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Keywords:
priors bayesian;
occupancy models;
bayesian occupancy;
occupancy ... See more keywords
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Published in 2022 at "PeerJ"
DOI: 10.7717/peerj.14332
Abstract: Using multi-species time series data has long been of interest for estimating inter-specific interactions with vector autoregressive models (VAR) and state space VAR models (VARSS); these methods are also described in the ecological literature as…
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Keywords:
priors bayesian;
inter specific;
bayesian var;
var ... See more keywords