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Bayesian Optimisation for Evidence Emulation by thibault.boyeux is a document available to read on EtoBox.
What is Bayesian Optimisation for Evidence Emulation about?
The document introduces BOBE (Bayesian Optimisation for Bayesian Evidence), a method for constructing a Gaussian Process Regression-based emulator to efficiently compute Bayesian evidence for model selection in cosmology. BOBE aims to minimize the number of likelihood evaluations needed while providing a reliable estimate of uncertainty, significantly reducing the computational burden associated with traditional methods. The paper details the algorithm
- Author
- thibault.boyeux
- Language
- EN