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 6 of 6 for “"Bayesian data analysis"”.
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Black Holes, Galaxy Clusters and Gravitational Waves
… of modern astrophysical research. We propose a Bayesian data analysis framework to test alternative theories of gravity using observations of Gravitational Waves (GWs) from the inspiral phase of binary systems. We compare General Relativity predictions to the ones from a Massive Graviton theory. …
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Bayesian Model Selection in terms of Kullback-Leibler discrepancy
… model assessment and selection methods for Bayesian models, when we anticipate that a promising approach should be objective enough to accept, easy enough to understand, general enough to apply, simple enough to compute and coherent enough to interpret. We mainly restrict attention to the …
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Graphical methods in prior elicitation.
… distribution on a parameter(s) to be used in a Bayesian data analysis. Existing methods require experts to quantify their belief by specifying multiple distribution summaries, which are then converted into the parameters of a given prior family. The resulting priors, however, may not accurately …
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Contributions in Uncertainty Quantification Towards Reliability-based Rock Engineering Design
… stemming from lack of sufficient quantitative data. With regards to (i) above, this thesis demonstrates the existence of a significant component of neglected and unquantifiable model uncertainty in rock engineering, embodied in the form of various subjective-qualitative schemes (e.g. RMR, Q and …
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Data Analysis in Global 21cm Experiments: Physically Motivated Bayesian Modelling Techniques
… thesis primarily investigates the application of Bayesian data analysis techniques to global 21cm cosmology, to aid in overcoming two of the most prominent difficulties in detecting a sky-averaged ('global') 21cm signal: the presence of foregrounds around four orders of magnitude brighter than the …
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Simulation-based Bayesian machine learning methods for Cosmology and beyond
… motivated by the limitations of likelihood-based Bayesian inference in sky-averaged 21-cm Cosmology. Moreover, PolySwyft merges nested sampling and neural ratio estimation into a general Bayesian framework, and the method is a general-purpose algorithm applicable beyond Cosmology. This thesis is …