IA/U.Porto Cookie Seminar - Introducing Gedi, a Python package for Gaussian process regression - 26 abril 2017



João D. R. Camacho




A challenge in science appears in how to perform the analysis of different types of data, and from it successfully determine relationships that further expand our knowledge of the environment around us. In astronomy one tool available are Gaussian processes, a powerful non-parametric Bayesian tool for modeling real-world statistical problems in a non-parametric model.
In this cookie, I will present a Python package, developed for my Master thesis, that uses Gaussian processes in the analysis of radial velocity data. I will show what type of results we are able to obtain with this new tool and in what future work we will be able to apply it.
26 de abril de 2017 | 13:30
Centro de Astrofísica da Universidade do Porto (Classroom)
Rua das Estrelas, 4150-762 Porto
IA Seminars webpage