Results 21 to 30 of about 1,347,426 (185)
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 Models for Independence Structures of Networks [PDF]
, 2019 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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Model-Checking Hierarchical Structures [PDF]
20th Annual IEEE Symposium on Logic in Computer Science (LICS' 05), 2006 Hierarchical graph definitions allow a modular description of graphs using modules for the specification of repeated substructures. Beside this modularity, hierarchical graph definitions also allow to specify graphs of exponential size using polynomial size descriptions.
openaire +3 more sources
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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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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Population–reaction model and microbial experimental ecosystems for understanding hierarchical dynamics of ecosystems [PDF]
, 2016 Understanding ecosystem dynamics is crucial as contemporary human societies face ecosystem degradation. One of the challenges that needs to be recognized is the complex hierarchical dynamics.
Hosoda, Kazufumi +3 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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Yukawa Hierarchy Transfer from Superconformal Sector and Degenerate Sfermion Masses [PDF]
, 2001 We propose a new type of supersymmetric models coupled to superconformal field theories (SCFT's), leading simultaneously to hierarchical Yukawa couplings and completely degenerate sfermion masses.
Kobayashi, Tatsuo +2 more
core +4 more sources