Results 21 to 30 of about 1,044,365 (214)
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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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
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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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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Hierarchical mixture models for assessing fingerprint individuality [PDF]
, 2009 The study of fingerprint individuality aims to determine to what extent a fingerprint uniquely identifies an individual. Recent court cases have highlighted the need for measures of fingerprint individuality when a person is identified based on ...
Dass, Sarat C., Li, Mingfei
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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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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
doaj +1 more source
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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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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Decays in Quantum Hierarchical Models
, 2007 We study the dynamics of a simple model for quantum decay, where a single state is coupled to a set of discrete states, the pseudo continuum, each coupled to a real continuum of states.
Ariel Amir +5 more
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