Results 31 to 40 of about 548,736 (273)
Reporting Standards for Bayesian Network Modelling
EntropyReproducibility is a key measure of the veracity of a modelling result or finding. In other research areas, notably in medicine, reproducibility is supported by mandating the inclusion of an agreed set of details into every research publication ...
Martine J. Barons +3 more
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Bayesian Computing in the Undergraduate Statistics Curriculum
Journal of Statistics Education, 2020 Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have ...
Jim Albert, Jingchen Hu
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Considerate Approaches to Achieving Sufficiency for ABC model selection
, 2011 For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Bayesian formalism to problems where we can use simulations from a model ...
Chris Barnes +4 more
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Using Bayesian Statistics in Enterprise Demography
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2016 Tytuł artykułu: Zastosowanie metod statystyki bayesowskiej w demografii przedsiębiorstw Znajomość liczby przedsiębiorstw różnego typu, których utworzenie jest planowane w najbliższym roku, stanowi istotną informację, która może zostać wykorzystana w ...
Eva Kotlebová, Ivan Láska
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Comment: Bayesian Checking of the Second Levels of Hierarchical Models
, 2007 We discuss the methods of Evans and Moshonov [Bayesian Analysis 1 (2006) 893--914, Bayesian Statistics and Its Applications (2007) 145--159] concerning checking for prior-data conflict and their relevance to the method proposed in this paper. [arXiv:0802.
Evans, M.
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A statistical inference method for the stochastic reachability analysis. [PDF]
, 2005 The main contribution of this paper is the characterization of reachability problem associated to stochastic hybrid systems in terms of imprecise probabilities. This provides the connection between reachability problem and Bayesian statistics.
Bujorianu, L.M.
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Bayesian statistics-based analysis of AC impedance spectra
AIP Advances, 2020 AC impedance spectroscopy is an important method for evaluating ionic, electronic, and dielectric properties of materials. In conventional analysis of AC impedance spectra, the selection of an equivalent circuit model and its initial parameters are ...
Yu Miyazaki +9 more
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A Bayesian Approach to Inverse Quantum Statistics
, 1999 A nonparametric Bayesian approach is developed to determine quantum potentials from empirical data for quantum systems at finite temperature. The approach combines the likelihood model of quantum mechanics with a priori information over potentials ...
A. Kirsch +16 more
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Bayesian statistics and Monte Carlo methods
Journal of Geodetic Science, 2018 The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is defined as a measure of the plausibility of statements or propositions. Three rules are sufficient to obtain the laws of probability.
Koch K. R.
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Integration of Multiple Resolution Data in 3D Chromatin Reconstruction Using ChromStruct
Biology, 2021 The three-dimensional structure of chromatin in the cellular nucleus carries important information that is connected to physiological and pathological correlates and dysfunctional cell behaviour.
Claudia Caudai +4 more
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