Bayesian optimal design using stochastic gradient optimisation and Fisher information gain

11 Apr 2019Sophie HarbisherColin S GillespieDennis Prangle

Finding high dimensional designs is increasingly important in applications of experimental design, but is computationally demanding under existing methods. We introduce an efficient approach applying recent advances in stochastic gradient optimisation... (read more)

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