Results 11 to 20 of about 1,044,365 (214)
Hierarchical models for service-oriented systems [PDF]
, 2011 We present our approach to the denotation and representation of hierarchical graphs: a suitable algebra of hierarchical graphs and two domains of interpretations.
A. Corradini +15 more
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 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.
openaire +2 more sources
Les Misérables: An analysis of low SWB across the world
Frontiers in Psychology, 2023 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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Modelling hierarchical flocking
New Journal of Physics, 2019 Abstract We present a general framework for modeling a wide selection of flocking scenarios under free boundary conditions. Several variants have been considered—including examples for the widely observed behavior of hierarchically interacting units. The models we have simulated correspond to classes of various realistic situations.
Yongnan Jia, Tamas Vicsek
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Dissecting magnetar variability with Bayesian hierarchical models [PDF]
, 2015 Neutron stars are a prime laboratory for testing physical processes under conditions of strong gravity, high density, and extreme magnetic fields. Among the zoo of neutron star phenomena, magnetars stand out for their bursting behaviour, ranging from ...
Brewer, B. J. +9 more
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Evolutionary Applications, 2021 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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On Horizontal and Vertical Separation in Hierarchical Text Classification [PDF]
, 2016 Hierarchy is a common and effective way of organizing data and representing their relationships at different levels of abstraction. However, hierarchical data dependencies cause difficulties in the estimation of "separable" models that can distinguish ...
Chen M. +8 more
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ISPRS International Journal of Geo-Information, 2019 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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Ecosphere, 2020 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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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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