Speaker
Ryan Keeley
Description
Gaussian process regression is a data driven statistical tool that is useful for both reconstructions and model selection. Especially in this era of precision cosmology where tensions abound, this example of model-independent statistical methods can be crucial for identifying the new physics or systematics that is the explanation for the tensions. In this talk I will review the formalism of Gaussian process regression. In particular, I will discuss the “dos and donts” of this statistical tool and point out common pitfalls and how to avoid them. Further, I will discuss recent interesting cosmological results found using Gaussian process regression.
