Results 31 to 40 of about 1,397,188 (342)
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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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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Recursive image sequence segmentation by hierarchical models [PDF]
, 1994 This paper addresses the problem of image sequence segmentation. A technique using a sequence model based on compound random fields is presented. This technique is recursive in the sense that frames are processed in the same cadency as they are produced.
Gasull Llampallas, Antoni +2 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.
openaire +5 more sources
Hierarchical models of rigidity percolation
, 2009 We introduce models of generic rigidity percolation in two dimensions on hierarchical networks, and solve them exactly by means of a renormalization transformation.
J. Barré, M. Chubynsky, M. F. Thorpe
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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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Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships
Mathematics, 2021 Our article explores an underused mathematical analytical methodology in the social sciences. In addition to describing the method and its advantages, we extend a previously reported application of mixed models in a well-known database about corruption ...
Luiz Paulo Fávero +4 more
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Nonparametric Bayes modeling of count processes [PDF]
, 2013 Data on count processes arise in a variety of applications, including longitudinal, spatial and imaging studies measuring count responses. The literature on statistical models for dependent count data is dominated by models built from hierarchical ...
Canale, Antonio, Dunson, David B.
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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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Stats, 2023 The area under the true ROC curve (AUC) is routinely used to determine how strongly a given model discriminates between the levels of a binary outcome. Standard inference with the AUC requires that outcomes be independent of each other.
Camden Bay +4 more
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