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An assumption of most regression analyses is that independent variables are measured without error. However, in ecological studies it is common to use independent variables that are derived from samples and therefore contain some uncertainty. For example,
Adam C. Behney
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Musical Expectancy. Bridging Music Theory, Cognitive and Computational Approaches [PDF]
This article contributes to an interdisciplinary discussion of ways in which music-theoretical, cognitive, and computational accounts of musical expectancy may be bridged.
Martin Rohrmeier
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Dietary habits are determinants in the development of a range of conditions and age-related diseases. We explored the associations of sociodemographic, health-related indicators, and health behavioral factors on dietary guideline compliance in elderly ...
Leticia de Albuquerque-Araújo +3 more
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Hierarchical Models for Independence Structures of Networks [PDF]
We introduce a new family of network models, called hierarchical network models, that allow us to represent in an explicit manner the stochastic dependence among the dyads (random ties) of the network.
Bishop Y. M. +7 more
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Hierarchical Configuration Model [PDF]
23 pages, 11 ...
van der Hofstad, R. +2 more
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A practical guide to understanding and validating complex models using data simulations
Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood‐based approaches (e.g.
Graziella V. DiRenzo +2 more
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Dissecting magnetar variability with Bayesian hierarchical models [PDF]
Neutron stars are a prime laboratory for testing physical processes under conditions of strong gravity, high density, and extreme magnetic fields. Among the zoo of neutron star phenomena, magnetars stand out for their bursting behaviour, ranging from ...
Brewer, B. J. +9 more
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A hierarchical model for ageing [PDF]
We present a one dimensional model for diffusion on a hierarchical tree structure. It is shown that this model exhibits aging phenomena although no disorder is present. The origin of aging in this model is therefore the hierarchical structure of phase space.
Geppert, U. +2 more
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Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments
Despite the importance of demonstrating and evaluating how structural equation modeling (SEM), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM) work simultaneously, research comparing these analytic ...
Hyeri Hong +2 more
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Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed‐effects models a common analysis tool in ecology and evolution because they can account for the non ...
Johannes Oberpriller +2 more
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