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Bayesian updating

2016 — Bayesian updating of hydroelectric turbine fatigue reliability

2016 — Bayesian updating of hydroelectric turbine fatigue reliability

... inspection, updating the fatigue model variables to decrease the uncertainties is ...the Bayesian method to construct the posterior ...by Bayesian updating ...of updating applied to ...

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Classical Extensions, Classical Representations and Bayesian Updating in Quantum Mechanics

Classical Extensions, Classical Representations and Bayesian Updating in Quantum Mechanics

... 3 Comparison with classical representations Another formalism that represents quantum mechanics in terms of (restrictions on) classical probabilities has recently enjoyed the limelight in the context of the possible ...

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Bayesian Updating of Probabilistic Time-Dependent Fatigue Model: Application to Jacket Foundations of Wind Turbines

Bayesian Updating of Probabilistic Time-Dependent Fatigue Model: Application to Jacket Foundations of Wind Turbines

... K EYWORDS : Fatigue, Damage, Reliability, Bayesian updating. I NTRODUCTION In offshore wind turbines industry, design of foundations is quite different from those encountered in the offshore Oil and Gas. ...

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Bayesian updating for optimization of inspection schedules of chloride ingress into concrete

Bayesian updating for optimization of inspection schedules of chloride ingress into concrete

... The determination of these conditional probabilities are carried out by the BN Tool Box which is built on the Matlab® Software. 2.2.4. Parameter identification using BN built on Bayesian Network Toolbox The ...

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Bayesian updating of a cracking model for reinforced concrete structures subjected to static and cyclic loadings

Bayesian updating of a cracking model for reinforced concrete structures subjected to static and cyclic loadings

... The methodology used to update the deflection and the Von Mises stress requires an iteration of mechanical (finite element code) and probabilistic analyses (Monte Carlo simulation, Bayesian network) see Figure 3. ...

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Fully Bayesian Aggregation

Fully Bayesian Aggregation

... is Bayesian; it imposes the static requirement to hold expected-utility preferences and the dynamic requirement to revise preferences by applying Bayesian updating to underlying be- ...name, ...

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Generalized neo-additive capacities and updating

Generalized neo-additive capacities and updating

... this section, we will derive and discuss some properties for the updates of GNAC. Eichberger, Grant, and Kelsey (2007) and Horie (2007) show that Axiom CCEC resstricted to binary acts implies that the capacities of CEU ...

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Bayesian model updating using incomplete modal data without mode matching

Bayesian model updating using incomplete modal data without mode matching

... model updating based on modal characteristics has been ...existing Bayesian updating approaches using modal ...Recently, Bayesian methods without requiring mode matching have been proposed for ...

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Regular updating

Regular updating

... Full Bayesian Updating rule (FBU) proposed, among others, by Dempster ...first updating all the probability measures in the core of the unconditional capacity, and then taking the lower envelope of ...

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Fully Bayesian Aggregation

Fully Bayesian Aggregation

... is Bayesian; it imposes the static requirement to hold expected-utility preferences and the dynamic requirement to revise preferences by applying Bayesian updating to underlying be- ...name, ...

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Next steps for updating Canada's national energy codes

Next steps for updating Canada's national energy codes

... / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur. Access and use of [r] ...

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Bayesian Optimisation

Bayesian Optimisation

... is Bayesian about Bayesian optimization? • The Bayesian strategy treats the unknown objective function as a random function and place a prior over ...

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Updating structural uncertainty through dimension reduction of geophysical data

Updating structural uncertainty through dimension reduction of geophysical data

... Data dimension reduction is useful when approximating the marginal probability distribution of structural parameters but the accuracy of this distribution depends on [r] ...

1

Updating prior geologic uncertainty with GPR traveltime tomographic data

Updating prior geologic uncertainty with GPR traveltime tomographic data

... The updating process (Figure 1) consists of the fol- lowing steps: (1) Defining a wide prior distribution f (p) taking into account uncertainty in both continuous and dis- crete parameters p, ...

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HSM spindle model updating with physical phenomena refinements

HSM spindle model updating with physical phenomena refinements

... an updating stage is ...second updating step has been realized considering the rifined ...model updating is crucial in the process of building a 3D dynamic and non-linear model of a high speed ...

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Bayesian Optimisation

Bayesian Optimisation

... Optimisation of simulation parameters in event generators; Optimisation of compiler flags to maximize execution speed; Optimisation of hyper-parameters in machine learning for HEP; ... l[r] ...

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Bayesian Game Theorists and non-Bayesian Players

Bayesian Game Theorists and non-Bayesian Players

... of Bayesian game theory with Harsanyi’s initial work on games of incomplete information, and its progressive extension to the case of strategic ...modern Bayesian game theory in the 1980s and the ...

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Updating the Canadian Standards Association Offshore Structures Code

Updating the Canadian Standards Association Offshore Structures Code

... CSA has a requirement that every 5 years its codes be reaffirmed or revised in order to maintain their currency. By the late 1990s there was experience with the design and operation of the Hibernia offshore GBS, as well ...

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Computing and updating the process number in trees

Computing and updating the process number in trees

... Finally we have adapted the algorithm to compute the process number of a tree if its size is unknown and we have characterized the trees for which the process number (resp. edge search n[r] ...

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Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis

Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis

... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ...

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