Bayesian estimation
Bayesian estimation of genotypic and phenotypic correlations from crop variety trials
... The Bayesian approach may not necessarily result in a lower posterior standard deviation of a parameter in comparison to the standard error of estimate of the parameter in the frequentist ...the Bayesian ...
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A HYBRID MULTI-OBJECTIVE BAYESIAN ESTIMATION OF DISTRIBUTION ALGORITHM THESIS
... problems. Estimation of distribution algorithms (EDAs) are a special class of metaheuristics that explore the decision variable space to construct probabilistic models from promising ...Multi-objective ...
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Dimensionality reduction in Bayesian estimation algorithms
... With only one known exception (Chiu and Petty, 2006), the prior joint and marginal PDFs are represented not as the continuous functions implied by Eq. (1) but rather via a large database of candidate solutions with ...
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Bayesian estimation of animal movement from archival and satellite tags.
... The simplest analysis of movement data is to visualize the sequence of locations visited by the animal. It is slightly more complex to provide a path estimate of the animal, which requires the ability to determine ...
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Bayesian estimation of the relative deviations between activities in the radionuclide standardization
... paper, Bayesian estimates for the relative deviation of activities and their uncertainty were obtained in order to evaluate the performance of the main sources’ preparation ...This Bayesian estimate was ...
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Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
... All the models derived from the general specification in (6) are fitted by Bayesian methods. In order to do this, we first need to introduce prior distributions for the model parameters. Here we assume proper but ...
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Bayesian Estimation of the Active Concentration and Affinity Constants Using Surface Plasmon Resonance Technology.
... a Bayesian approach to estimating the active concentration and kinetic rate constants from SPR experimental data using the same two-compartment model and quasi-steady state approximation used by Christensen and ...
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Bayesian estimation of mixture models with prespecified elements to compare drug resistance in treatment-naive and experienced tuberculosis cases.
... The Bayesian approach permits incorporation of uncertainty by placing a prior distribution on the parameters of the prespecified trees; the methods of Szabo and Boucher [18] that permit incorporation of ...
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Single-Trait Bayesian Analysis of Some Growth Traits in Japanese Quail
... the Bayesian estimation of variance components and heritabilities of some growth traits that have rarely been considered in breeding studies of Japanese ...of estimation applied in this study ...
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A Bayesian Analysis of Spectral ARMA Model
... the Bayesian approach in estimating the parameters of the ARMA process, considering a noninformative prior proposed by Jeffrey ...and Bayesian estimation methods is carried out by comparing the ...
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Hierarchical Bayesian modeling of intertemporal choice
... use Bayesian methods to estimate parameters in delay discount- ing, they differ in aspects worth ...introduce Bayesian estimation and hy- pothesis testing for delay discounting tasks, while this work ...
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ANALYSIS OF BAYESIAN CLASSIFIER ACCURACY
... The approach used in the study of (Cheng and Greiner, 1999) seeks to automatically learn the structure of Bayesian networks, identifying conditional independence relations between network nodes. Statistical tests ...
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A Multi-Level Model for Fingerprint Image Enhancement
... orientation estimation, ridge frequency estimation and Gabor filtering experiments all employed the circsine function [11] to generate the synthetic ...
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A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law
... A Bayesian sequential method for multiallelic HWE test was proposed by Pereira et ...Full Bayesian Significance Test (FBST), an intuitive Bayesian approach which does not assign positive ...
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New insights from molecular characterization of the tick Rhipicephalus (Boophilus) microplus in Brazil
... Bayesian analyses produced phylogenetic trees with high valued probabilities (Figure 2 and Figure 3). The 10 haplotypes (H1-H10) generated from the COX-I sequences of Brazilian R. (B.) microplus were subjected to ...
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Molecular evidence of polyphyletism in the plant genus Carum L. (Apiaceae)
... The alternative phylogenetic hypothesis tested with the Templeton test were either that all Carum species grouped together or all Carum species in the Pyramidop- tereae tribe grouped together. The hypothesis that all ...
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Exact Bayesian inference for Markov switching Cox processes
... For the MH, defined in (4.5) and (4.8), we investigate the sampling method with several values for L and r. A good estimation was obtained with L = 10 and r = 0 (which proposes from the prior CTMC), as shown in ...
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Efficient Bayesian inference for ARFIMA processes
... parametric, Bayesian method of inference that properly accounts for varying models, and to marginalize out these nuisance quantities, we use reversible-jump (RJ) MCMC (Green, ...
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Economic potential estimation at the choice of regional economic lines of development
... The approach to the quantitative estimation of economic potential as a basis for different regional economic paths is offered. Keywords: economic potential estimation, r[r] ...
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A Bayesian skew mixture item response model
... important estimation methods (EM and Bayesian approach) for dichotomous and polichotomous items were discussed by Azevedo (2003), and for a more complete work on the Bayesian approach to modern test ...
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