PhD Thesis


Michael Salter-Townshend



bayesian methods ph d trinity college dublin reconstruction regression gaussian distribution statistics ph d bayesian inference statistical methods

Fast approximate inverse Bayesian inference in non-parametric multivariate regression with application to palaeoclimate reconstruction (2009)

Abstract Bayesian statistical methods often inyolye computationally intensive inference procedures. Sampling algorithms represent the current standard for fitting and testing models. Such methods, while flexible, are computationally intensive and suffer from long run times and high potential sampling error. New methods for fitting non-parametric approximations offer a fast and accurate alternative. Essentially, a multivariate Gaussian distribution is used to approximate the posterior of the model parameters.
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Michael Salter-Townshend

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Michael Salter-Townshend
University College Dublin
Total Publications: 12