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 12 of 12 for “"Bayesian Evidence"”.
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Bayesian model selection with applications to radio astronomy
… of two main parts, both of which focus on Bayesian methods and the problem of model selection in particular. The first part investigates a new approach to computing the Bayes factor for model selection without needing to compute the Bayesian evidence, while the second part shows, through an …
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The Bayesian Global Sky Model (B-GSM)
… global model of the diffuse radio sky, the Bayesian Global Sky Model (B-GSM). The novel Bayesian framework of B-GSM aims to address the limitations of previous sky models, notably the Global Sky Model (GSM), by introducing robust error quantification and calibration into the model. We use …
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FireFly: A Bayesian Approach to Source Finding in Astronomical Data
… including any prior knowledge we may have. Bayesian statistics is the obvious approach as it allows precise statistical interrogations of the data and the inclusion of all available information. In this thesis, we implement nested sampling and Monte Carlo Markov Chain (MCMC) techniques to …
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Accounting for hypnotic phenomena via motivation and experimenter demands.
… participants. The experiment revealed no evidence for specific strategic responding under suggestion, upholding CCT’s prediction of modified awareness of intention. The effect of in-group demand characteristics was then tested using 13 participants of unknown suggestibility, 6 higher …
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Investigating trial types putatively evidencing semantic conflict in the Stroop task
… behavioural and eye-tracking measures, provided (Bayesian) evidence that two-to-one mapping trials do not involve additional interference compared to non-word neutral trials. Studies that have utilised this method are likely to have been measuring facilitation instead of the intended …
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Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity
… estimate transmission and severity, an initial Bayesian epidemic model is fitted to historical data on severe cases, assuming a deterministic severity process and using a single data source. This model is then extended to describe a more stochastic and hence more realistic process of severe …
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A new evidence measure for Bayesian Inference
… have been several attempts to build a measure of evidence that covers, in a Bayesian context, the role that the p-value has played in the frequentist setting. A prominent example is the decision test based on the Bayes Factor. Worth to mention it is also the e-value, another Bayesian evidence …
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Bayesian source inversion of microseismic events
… in source inversion. This thesis proposes a Bayesian framework enabling a complete inclusion of uncertainties in the resultant probability distribution using Bayesian marginalisation. This approach is developed for polarity and amplitude ratio data, although it is possible to use any data …
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Physical modelling of galaxy clusters and Bayesian inference in astrophysics
… these models to real and simulated data using Bayesian inference, and the development of Bayesian inference algorithms applicable to a wide range of astrophysical problems. I present a comparison of mass estimates for $54$ galaxy cluster candidates from the second Planck catalogue (PSZ2) of …
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Constraining reionization: Evidence from 21 cm limits and predictions for fast radio bursts
… cosmological parameters. Secondly, I use Bayesian methods for a model-independent parameterization of the sky-averaged 21 cm signal. One of the biggest challenges in that field is identifying the cosmological signal among other systematic contributions and foregrounds. In my work, I …
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Bayesian Modelling of Galaxy Clusters with the Arcminute Microkelvin Imager
… observed with the SA are analysed in a fully Bayesian manner with the in-house software package McAdam, using a parametrised model for the cluster whilst simultaneously modelling the point source environment using priors based on LA estimates. The detection of clusters is reported based on …
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Bayesian Methods and Machine Learning in Astrophysics
This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested sampling (Chapters 3 to 5), and Bayesian sparse reconstruction of signals from noisy data (Chapters 6 and 7). Nested sampling is a …