Results 31 to 40 of about 343,435 (310)
Econometric Fine Art Valuation by Combining Hedonic and Repeat-Sales Information
Econometrics, 2018 Statistical methods are widely used for valuation (prediction of the value at sale or auction) of a unique object such as a work of art. The usual approach is estimation of a hedonic model for objects of a given class, such as paintings from a particular
John W. Galbraith, Douglas J. Hodgson
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Applied Sciences, 2022 Partial least square regression (PLSR) is a reference statistical model in chemometrics. In agronomy, it is used to predict components (response variables y) of chemical composition of vegetal materials from spectral near infrared (NIR) data X collected ...
Mathieu Lesnoff +8 more
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AVERAGING PROPERTIES AND SPREADING MODELS [PDF]
Journal of the Korean Mathematical Society, 2005 The authors characterize Banach--Saks properties in Banach spaces in terms of spreading models. Theorem~1 is the well-known result [see, e.g., \textit{B.~Beauzamy} and \textit{J.--T.\ Lapresté}, ``Modèles étalés des espaces de Banach'' (Travaux en Cours, Hermann, Paris) (1984; Zbl 0553.46012)]) that \(X\) has the weak Banach--Saks property iff no ...
Cho, Kyugeun, Lee, Chongsung
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Pharmaceutics, 2022 We aimed to evaluate the predictive performance and predicted doses of a single-model approach or several multi-model approaches compared with the standard therapeutic drug monitoring (TDM)-based vancomycin dosing.
Heleen Gastmans +12 more
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jModelTest: Phylogenetic Model Averaging [PDF]
Molecular Biology and Evolution, 2008 jModelTest is a new program for the statistical selection of models of nucleotide substitution based on "Phyml" (Guindon and Gascuel 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 52:696-704.).
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Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]
, 2010 We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo +2 more
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Automating Model Comparison in Factor Graphs
Entropy, 2023 Bayesian state and parameter estimation are automated effectively in a variety of probabilistic programming languages. The process of model comparison on the other hand, which still requires error-prone and time-consuming manual derivations, is often ...
Bart van Erp +3 more
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MFEAM: Multi-View Feature Enhanced Attention Model for Image Captioning
Applied SciencesImage captioning plays a crucial role in aligning visual content with natural language, serving as a key step toward effective cross-modal understanding. Transformer has become the dominant language model in image captioning.
Yang Cui, Juan Zhang
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The sustainability of Serbia's external position: The impact of fiscal adjustment and external shocks [PDF]
Ekonomski Anali, 2015 This paper studies the impact of fiscal policy and external shocks on the sustainability of Serbia’s external position. The key determinants of Serbia's current account balance are identified using model averaging techniques and are compared ...
Zildžović Emir
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On the effect of prior assumptions in Bayesian model averaging with applications to growth regresssion [PDF]
, 2007 We consider the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressor and relatively limited numbers of observations.
Eduardo Ley +4 more
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