Results 21 to 30 of about 399,077 (314)
Ecosphere, 2020 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]
Zeitschrift der Gesellschaft für Musiktheorie, 2013 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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Geriatrics, 2022 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 Configuration Model [PDF]
Internet Mathematics, 2017 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
Methods in Ecology and Evolution, 2023 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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Bayesian methods for hierarchical distance sampling models [PDF]
, 2014 Cornelia S. Oedekoven was supported by a studentship jointly funded by the University of St Andrews and EPSRC (EPSRC grant EP/C522702/1), through the National Centre for Statistical Ecology.The few distance sampling studies that use Bayesian methods ...
Oedekoven, Cornelia Sabrina +11 more
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Visualizing classification of natural video sequences using sparse, hierarchical models of cortex. [PDF]
, 2011 Recent work on hierarchical models of visual cortex has reported state-of-the-art accuracy on whole-scene labeling using natural still imagery. This raises the question of whether the reported accuracy may be due to the sophisticated, non-biological
Michael I. Ham +8 more
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Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments
PsychDespite 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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Ecology and Evolution, 2022 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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Grand Canonical Ensembles of Sparse Networks and Bayesian Inference
Entropy, 2022 Maximum entropy network ensembles have been very successful in modelling sparse network topologies and in solving challenging inference problems. However the sparse maximum entropy network models proposed so far have fixed number of nodes and are ...
Ginestra Bianconi
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