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Found 9 papers, 7 papers with code
Split personalities in Bayesian Neural Networks: the case for full marginalisation
The true posterior distribution of a Bayesian neural network is massively multimodal.
Compromise-free Bayesian neural networks
We conduct a thorough analysis of the relationship between the out-of-sample performance and the Bayesian evidence (marginal likelihood) of Bayesian neural networks (BNNs), as well as looking at the performance of ensembles of BNNs, both using the Boston housing dataset.
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
BAMBI: blind accelerated multimodal Bayesian inference
In this paper we present an algorithm for rapid Bayesian analysis that combines the benefits of nested sampling and artificial neural networks.
Efficient Computation of CMB anisotropies in closed FRW models
We implement the efficient line of sight method to calculate the anisotropy and polarization of the cosmic microwave background for scalar and tensor modes in almost-Friedmann-Robertson-Walker models with positive spatial curvature.
astro-ph
Cosmic microwave background anisotropies in the CDM model: a covariant and gauge-invariant approach
We present a fully covariant and gauge-invariant calculation of the evolution of anisotropies in the cosmic microwave background (CMB) radiation.
astro-ph
