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09/18/2023
Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
In ecological and environmental contexts, management actions must someti...
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07/31/2023
Communicating uncertainty in Indigenous sea Country monitoring with Bayesian statistics: towards more informed decision-making
First Nations Australians have a cultural obligation to look after land ...
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05/18/2023
Generalised likelihood profiles for models with intractable likelihoods
Likelihood profiling is an efficient and powerful frequentist approach f...
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01/31/2023
Misspecification-robust Sequential Neural Likelihood
Simulation-based inference (SBI) techniques are now an essential tool fo...
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12/20/2022
Robust simulation design for generalized linear models in conditions of heteroscedasticity or correlation
A meta-model of the input-output data of a computationally expensive sim...
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11/10/2022
Bayesian score calibration for approximate models
Scientists continue to develop increasingly complex mechanistic models t...
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12/22/2021
Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation
Likelihood-free Bayesian inference algorithms are popular methods for ca...
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10/26/2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
Models of stochastic processes are widely used in almost all fields of s...
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12/28/2019
A practical guide to pseudo-marginal methods for computational inference in systems biology
For many stochastic models of interest in systems biology, such as those...
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09/14/2019
Rapid Bayesian inference for expensive stochastic models
Almost all fields of science rely upon statistical inference to estimate...
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02/25/2019