8 citations · 21 across the 5 of their papers we have counts for
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stat.ME2022★ 2 cited
Generalised Bayesian Inference for Discrete Intractable Likelihood
Takuo Matsubara, Jeremias Knoblauch, François-Xavier Briol +1
Discrete state spaces represent a major computational challenge to statistical inference, since the computation of normalisation constants requires summation over large or possibly…
stat.ME2021★ 8 cited
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara, Jeremias Knoblauch, François-Xavier Briol +1
Generalised Bayesian inference updates prior beliefs using a loss function, rather than a likelihood, and can therefore be used to confer robustness against possible mis-specificat…