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Found 4 papers, 4 papers with code
Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning
Our approach can also be readily applied to neural networks, where it allows the network architecture to be determined by the data in a principled Bayesian manner by treating the number of nodes and hidden layers as parameters.
Diagnostic Tests for Nested Sampling Calculations
Nested sampling is an increasingly popular technique for Bayesian computation - in particular for multimodal, degenerate and high-dimensional problems.
Computation Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation
We introduce dynamic nested sampling: a generalisation of the nested sampling algorithm in which the number of "live points" varies to allocate samples more efficiently.
Computation Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability Methodology
Sampling Errors in Nested Sampling Parameter Estimation
Sampling errors in nested sampling parameter estimation differ from those in Bayesian evidence calculation, but have been little studied in the literature.
Methodology Instrumentation and Methods for Astrophysics Applications
