Results 41 to 50 of about 7,749,372 (301)
A Hierarchical Bayesian Implementation of the Experience-Weighted Attraction Model
Computational Psychiatry, 2020 Social and decision-making deficits are often the first symptoms of neuropsychiatric disorders. In recent years, economic games, together with computational models of strategic learning, have been increasingly applied to the characterization of ...
Zhihao Zhang +4 more
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Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach [PDF]
Advances in Geosciences, 2010 The restrictions of the analysis of natural processes which are observed at any point in space or time to a purely spatial or purely temporal domain may cause loss of information and larger prediction errors.
I. Hussain, J. Pilz, G. Spoeck
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IEEE Access, 2019 Degradation analysis methods are increasingly used in reliability assessment of long-life products. The small sample size problem is worthy of attention in the degradation analysis.
Junyu Guo +3 more
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Bayesian hierarchical model for protein identifications [PDF]
Journal of Applied Statistics, 2018 In proteomics, identification of proteins from complex mixtures of proteins extracted from biological samples is an important problem. Among the experimental technologies, mass spectrometry (MS) is the most popular one. Protein identification from MS data typically relies on a ‘two-step’ procedure of identifying the peptide first followed by the ...
Riten, Mitra +3 more
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HIERARCHICAL BAYESIAN MODELLING OF A FAMILY OF FRFS
Proceedings of the 14th International Workshop on Structural Health Monitoring, 2023 Population-based structural health monitoring (PBSHM) aims to share valuable information among members of a population, such as normal- and damage-condition data, to improve inferences regarding the health states of the members. Even when the population is comprised of nominally-identical structures, benign variations among the members will exist as a ...
Dardeno, T.A. +4 more
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Bayesian hierarchical models for linear networks [PDF]
Journal of Applied Statistics, 2020 The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents and study its pattern across the UK motorway network. Two methods have been developed to achieve this aim. First, the motorway-specific intensity is estimated by using a homogeneous Poisson process.
Zainab, Al-Kaabawi +2 more
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Bayesian hierarchical models for misaligned data: a simulation study
Statistica, 2015 In this paper, the problem of combining information from different data sources is considered. We focus our attention on spatially misaligned data, where available information (typically counts or rates from administrative sources) refers to spatial ...
Giulia Roli, Meri Raggi
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Frontiers in Environmental Science, 2021 Large compilations of heterogeneous environmental observations are increasingly available as public databases, allowing researchers to test hypotheses across datasets.
Gregory L. Britten +13 more
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Bayesian hierarchical modeling of size spectra
Methods in Ecology and Evolution, 2023 Abstract A fundamental pattern in ecology is that smaller organisms are more abundant than larger organisms. This pattern is known as the individual size distribution (ISD), which is the frequency of all individual body sizes in an ecosystem.
Jeff S. Wesner +3 more
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Semiparametric Bayesian inference in multiple equation models [PDF]
, 2005 This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Koop, G.M. +5 more
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