Bayesian approach
A Bayesian Approach to Predicting Water Supply and Rehabilitation of Water Distribution Networks
... a Bayesian approach that allows management of water distribution network based on the evaluation of the reliability of network ...Static Bayesian Network (SBN) is implemented to analyze qualitatively ...
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Bayesian approach, traditional method, and mixed models for multienvironment trials of soybean
... the Bayesian approach in a larger number of missed plots, environments, and heterogeneous variance situations, in order to verify its ...The Bayesian approach was used to model the ...
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A Bayesian approach to NDT Data Fusion for St. Torcato Church
... The Trust Factor (TF) is intended to introduce the subjective concept of having more confidence in the results of some tests than others. As some tests are more important than others and this fact should be inputted in ...
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Evaluating a Bayesian approach to improve accuracy of individual photographic identification methods using ecological distribution data
... a Bayesian approach that uses known data about previous sightings of individuals at specific sites as priors to help assess the problems of obtaining a non-unique ...of Bayesian modified (posterior) ...
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A Bayesian approach for constructing genetic maps when markers are miscoded
... a Bayesian approach for ordering gene ...robust approach for more realistic inferences about marker positions and their ...The approach simultan- eously estimates the genotyping error rate and ...
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Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach
... Barroso, L. M. A., Teodoro, P. E., Nascimento, M., Torres, F. E., Santos, A., Corrêa, A. M., Sagrilo, E., Corrêa, C. C. G., Silva, F. A., & Ceccon, G. (2016). Bayesian approach increases accuracy when ...
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A Bayesian approach to estimate the accuracy of in-house ELISA assay to measure rabies antibodies from compulsory vaccinated dogs and cattle
... the Bayesian approach, developed to replace the conventional Hui-Walter ...independent Bayesian model (one population, two tests and no gold standard) the prior information for sensitivity and ...
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Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm
... Abstract – The objective of this study was to examine genetic parameters of popping expansion and grain yield in a trial of 169 half- sib families using a Bayesian approach. The independence chain algorithm ...
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An Application of Bayesian Approach in Modeling Risk of Death in an Intensive Care Unit.
... both Bayesian and frequentist (MLE) methods produced results that were close in agreement and similar conclusions in terms of model ...the Bayesian MCMC simulations in order to achieve model ...the ...
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Forecasting Rainfall Time Series with stochastic output approximated by neural networks Bayesian approach
... network bayesian approach filter, which uses a learning algorithm and the GP filter has the same initial parameters in each algorithm, although such parameters and filter’s structure are changed by the ...
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Bayesian approach to news recommendation systems
... Regardless of the technique used for implementation, the majority of current recommendation systems still present problems, being relevant to the context of online news the problem of the “new user”, that is the ...
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SAMBA Stochastic Analytical Model with a Bayesian Approach
... 217 Financial Stability and Monetary Policy – The case of Brazil Benjamin M. Cajueiro[r] ...
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A Bayesian approach to data optimization in BreastCare software
... Databases” approach. This approach is a process that includes data preparation and selection, data transformation, data mining techniques as Bayesian networks and interpretation of ...
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Bayesian approach to model CD137 signaling in human M. tuberculosis in vitro responses.
... Immune responses are qualitatively and quantitatively influenced by a complex network of receptor-ligand interactions. Among them, the CD137:CD137L pathway is known to modulate innate and adaptive human responses against ...
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Evaluating the Performance of Fine-Mapping Strategies at Common Variant GWAS Loci.
... approximate Bayesian framework would further improve its ...weighted approach resulted in a ...model-based approach, it has been shown that, when causal variation was limited to small genomic regions ...
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Pesqui. Oper. vol.26 número1
... In this paper we have discussed a Bayesian approach to assess the variability of reliability measures based on partially relevant data. The so-called population variability analysis has a very strong appeal ...
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Bayesian Estimation of the Active Concentration and Affinity Constants Using Surface Plasmon Resonance Technology.
... Fig 5. The kinetic analysis of the emzyme CAII and its small molecule inhibitor 4-CBS in the SensiQ Pioneer biosensor. CAII was immobilized by the amine coupling chemistry at a level of about 3000RU, and then 50μM 4-CBS ...
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Cad. Saúde Pública vol.16 número2
... Although there are some software already available (e. g., BUGS 6.0 available on URL http: //www.mrc-bsu.cam.ac.uk/bugs/; or WinBUGS 1.2 (Spiegelhalter et al., 1998b); or HUGIN ( Jensen, 1996)), development will tend to ...
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Arq Bras Endocrinol Metab vol.56 número9
... a Bayesian approach to clinical judgment, the overall mean of pretest probability of CS diagnosis was ...the Bayesian approach, the veracity of the results is af- fected by the goodness of the ...
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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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