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Approximate Bayesian Computation (ABC) in practice
Trends in Ecology & Evolution, 2010Understanding the forces that influence natural variation within and among populations has been a major objective of evolutionary biologists for decades. Motivated by the growth in computational power and data complexity, modern approaches to this question make intensive use of simulation methods.
Csilléry, Katalin +3 more
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On multiple spline approximations for Bayesian computations
Annals of Mathematics and Artificial Intelligence, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Algorithms for Approximate Bayesian Computation
2014Computer models have many applications in business, medicine, engineering, and science. A typical model has known inputs such as a task schedule, unknown inputs such as the average time to complete a task, and outputs such as product production quality and rates.
Tom Burr, Alexei Skurikhin
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HYPERPARAMETER OPTIMIZATION FOR APPROXIMATE BAYESIAN COMPUTATION
2018 Winter Simulation Conference (WSC), 2018Prashant Singh, Andreas Hellander
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Improving Approximate Bayesian Computation via Quasi-Monte Carlo
Journal of Computational and Graphical Statistics, 2019Alexander Buchholz, Nicolas Chopin
exaly
Calibration and evaluation of individual-based models using Approximate Bayesian Computation
Ecological Modelling, 2015Alice S A Johnston, Richard M Sibly
exaly