Speaker
Ameek Malhotra
(Swansea University)
Description
Cosmological model selection, in the framework of Bayesian inference requires the calculation of the Bayesian evidence. This can often be quite challenging, especially if the underlying likelihood function is expensive to evaluate. I will show how a technique called Bayesian Optimisation, based on Gaussian Process regression, can be used to calculate this evidence in far fewer likelihood evaluations, offering a much more efficient approach compared to traditional methods. I will discuss applications to CMB, GW and 21cm cosmology.
Primary author
Ameek Malhotra
(Swansea University)
