Results 11 to 20 of about 337,305 (266)
SUMMARY An analysis of a time series of cross-sectional data is considered under a Bayesian perspective. Information is modelled in terms of prior distributions and stratified parametric linear models developed by Lindley and Smith and dynamic linear models developed by Harrison and Stevens are merged into a general framework.
Gamerman, Dani, Migon, Hélio S.
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Hierarchical spin-glasses are Ising spin models defined by recursively coupling together two equally-sized sub-systems. In this work a new hierarchical spin system is introduced wherein the sub-systems are recursively coupled together through the parity of their spins.
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Les Misérables: An analysis of low SWB across the world
Global trends indicate that the prevalence of low subjective wellbeing is on the rise, though not all regions are equal in terms of both absolute levels and their trajectories.
Georgios Melios +5 more
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Ecological and evolutionary research questions are increasingly requiring the integration of research fields along with larger data sets to address fundamental local‐ and global‐scale problems.
Daniel W. A. Noble, Shinichi Nakagawa
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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 Configuration Model [PDF]
23 pages, 11 ...
van der Hofstad, R. +2 more
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This article aims at testing the possibilities of applying hierarchical spatial autoregressive models to create land value maps in urbanized areas. The use of HSAR (Hierarchical Spatial Autoregressive) models for spatial differentiation of prices in the ...
Radosław Cellmer +2 more
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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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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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