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10/11/2022
Assessments and developments in constructing a National Health Index for policy making, in the United Kingdom
Composite indicators are a useful tool to summarize, measure and compare...
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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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01/17/2020
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling
Multifidelity approximate Bayesian computation (MF-ABC) is a likelihood-...
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11/23/2018