Student-t Processes as Alternatives to Gaussian Processes

18 Feb 2014Amar ShahAndrew Gordon WilsonZoubin Ghahramani

We investigate the Student-t process as an alternative to the Gaussian process as a nonparametric prior over functions. We derive closed form expressions for the marginal likelihood and predictive distribution of a Student-t process, by integrating away an inverse Wishart process prior over the covariance kernel of a Gaussian process model... (read more)

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