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.
Results
Showing 1 to 4 of 4 for “"MultiNest"”.
-
Bayesian methods for gravitational waves and neural networks
… is combined with the nested sampling algorithm MULTINEST to provide rapid Bayesian inference. Using samples from the normal inference, a network is trained on the likelihood function and eventually used in its place. This is able to provide significant increase in the speed of Bayesian inference …
-
Investigating the AMI SZ Selection Function of Galaxy Clusters
… approach are modelled and then analysed with MULTINEST. PROFILE was then used to create simulated AMI observations with varying noise realizations (thermal, cosmic microwave background (CMB) and source confusion) and then analysed with McAdam. A pipeline was developed to allow the application …
-
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 …
-
Computational Bayesian techniques applied to cosmology
This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well constrained. They present interesting challenges for Bayesian inference, which attempts to quantify our knowledge of the universe …