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A Quick Intro to Bayes and Emulating the Matter Power Spectrum

I will start with a short introduction to Bayesian statistics, including the magic of Markov chain Monte Carlo. With these concepts, I will describe how to build and use an emulator, a fast statistical approximation to a computationally intensive simulation. I will present this in the context of the Cosmic Emu, an emulator for the matter power spectrum based on large n-body simulations. The work involves various types of Gaussian process models, a flexible approach to regression that's useful in lots of contexts, cosmological and otherwise.

Speaker: Earl Lawrence, Los Alamos National Labs

Monday, 01/07/19

Contact:

Website: Click to Visit

Cost:

Free

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Varian Physics Building

382 Via Pueblo Mall
Room 355
Stanford, CA 94305