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Corpus ID: 202577439

Rapid Bayesian inference for expensive stochastic models

@article{Warne2019RapidBI,
title={Rapid Bayesian inference for expensive stochastic models},
author={D. Warne and R. Baker and Matthew J. Simpson Queensland University of Technology and U. O. Oxford},
journal={arXiv: Computation},
year={2019}
}

Almost all fields of science rely upon statistical inference to estimate unknown parameters in theoretical and computational models. While the performance of modern computer hardware continues to grow, the computational requirements for the simulation of models are growing even faster. This is largely due to the increase in model complexity, often including stochastic dynamics, that is necessary to describe and characterize phenomena observed using modern, high resolution, experimental… Expand