Results 41 to 50 of about 33,003,501 (342)
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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Hierarchical Models in the Brain
PLoS Computational Biology, 2008 This paper describes a general model that subsumes many parametric models for continuous data. The model comprises hidden layers of state-space or dynamic causal models, arranged so that the output of one provides input to another. The ensuing hierarchy furnishes a model for many types of data, of arbitrary complexity.
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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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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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Neural hierarchical models of ecological populations
bioRxiv, 2019 Neural networks are increasingly being used in science to infer hidden dynamics of natural systems from noisy observations, a task typically handled by hierarchical models in ecology.
M. Joseph
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Hierarchical Infinite Relational Model
CoRR, 2021 11 pages, 6 figures, 4 tables.
Feras A. Saad, Vikash K. Mansinghka
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Hierarchical graphical bayesian models in psychology [PDF]
, 2014 The improvement of graphical methods in psychological research can promote their use and a better comprehension of their expressive power. The application of hierarchical Bayesian graphical models has recently become more frequent in psychological ...
Guillermo Campitelli +5 more
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Analysis of criteria system model for construction contract evaluation
Technological and Economic Development of Economy, 2007 A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. Part of them is reviewed in this article.
Sigitas Mitkus, Eva Trinkūnienė
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Uncovering the heterogeneity of a solar flare mechanism with mixture models
Frontiers in Astronomy and Space SciencesThe physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are associated with the intense kilogauss fields of active regions, where free energies are stored with ...
Bach Viet Do +4 more
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