Avideh Sabeti

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Article history: Available online xxxx AMS subject classifications: 62H05 62F15 62C40 Keywords: Adaptive Markov chain Monte Carlo Bayesian inference Conditional copula model Cubic spline Deviance information criterion Mixed outcomes a b s t r a c t Conditional copula models are flexible tools for modelling complex dependence structures in regression(More)
2014 Gaussian Process (GP) regression models typically assume that residuals are Gaussian and have the same variance for all observations. However, applications with input-dependent noise (heteroscedastic residuals) frequently arise in practice, as do applications in which the residuals do not have a Gaussian distribution. In this thesis, we propose a GP(More)
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