Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Bayesian procedure"”.
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Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model
… covariance matrix. Frequentist properties of the Bayesian procedure using these objective priors are studied through analytical and numerical tools. The third part considers the star-shape Gaussian graphical model, which is a special case of undirected Gaussian graphical models. It is a …
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Machine Learning and Field Inversion approaches to Data-Driven Turbulence Modeling
… this field inversion is done using a Monte Carlo Bayesian procedure and the focus is on improving the inference by enforcing known physical constraints on the inferred Reynolds stress field. To this end, a method for enforcing boundary conditions on the inferred field is presented. The two …
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Estimation and Inference for Network Data
… selection for network data. We derive a testing procedure that allows researchers to select the most appropriate model from a collection of candidate models, using the eigenvalues of the normalized adjacency matrix. We also show how this testing method is applicable to cases where the researcher …
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Trait-based modeling of larval dispersal in the Gulf of Maine
… number of particles, and the sequential Bayesian procedure presented in chapter 2 identifies when the number of particles is adequate to address predefined research objectives. In addition, this method optimizes the particle release locations to minimize the requisite number of particles. …
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An integrated approach to fatigue cracking, reliability and inspection of offshore structures
… are included; and using one of these a Bayesian procedure for revising fatigue lives in the light of inspection results is demonstrated. The effect of fatigue cracking upon the various modes of tubular joint failure is considered using linear statistical models. Example calculations are …
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Trait-based modeling of larval dispersal in the Gulf of Maine
… number of particles, and the sequential Bayesian procedure presented in chapter 2 identifies when the number of particles is adequate to address predefined research objectives. In addition, this method optimizes the particle release locations to minimize the requisite number of particles. …
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Extreme value theory: Applications to estimation of stochastic traffic capacity and statistical downscaling of precipitation extremes
… sample sizes and the presence of censoring, a Bayesian framework using semi-informative priors was implemented. A simple cross validation procedure reveals the GEV model, using both censored and observed capacity data, is suitable for probabilistic prediction. To overcome the uncertainty …
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Random forests and their application to heteroscedastic drug design data
… explore an analogy between random forest and a Bayesian procedure of model selection and use this to explain the different behaviours of a random forest. In particular, we look at the role of randomness in obtaining good predictions and explain when and why pruning is required to prevent …
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Supporting rational decision-making in civil engineering
… not directly observe the state of the structure, Bayesian inference and Expected Utility Theory provide the only consistent way to judge and to make decisions, respectively, as all alternative inferential methods for decision support are susceptible to logical inconsistency.;However, we must …
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Procedure di modellizzazione rapide per la caratterizzazione di Supernovae Core Collapse e di transienti similari
… qui descritti hanno permesso di sviluppare nuove procedure di modellizzazione basate sull'inferenza bayesiana, capaci di caratterizzare rapidamente le principali proprietà fisiche del sistema progenitore al momento dell'esplosione, tra cui l'energia di esplosione, la massa espulsa e il raggio del …