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Showing 1 to 2 of 2 for “"Wishart process"”.
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Bayesian single- and multi- objective optimisation with nonparametric priors
Optimisation is integral to all sorts of processes in science, economics and arguably underpins the fruition of human intelligence through millions of years of optimisation, or $\textit{evolution}$. Scarce resources make it crucial to maximise their efficient usage. In this thesis, we consider the …
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Robust time-varying functional connectivity estimation and its relevance for depression
… method for estimating TVFC, based on the Wishart process (WP), a covariance matrix stochastic process that has recently become computationally tractable, and introduce a comprehensive benchmarking framework based on machine learning principles to make sure it performs better than existing …