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Stochastic Compartmental Modelling of SARS-CoV-2 with Approximate Bayesian Computation
, 2020 Chandra V.
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Approximately Sufficient Statistics and Bayesian Computation
Statistical Applications in Genetics and Molecular Biology, 2008The analysis of high-dimensional data sets is often forced to rely upon well-chosen summary statistics. A systematic approach to choosing such statistics, which is based upon a sound theoretical framework, is currently lacking. In this paper we develop a sequential scheme for scoring statistics according to whether their inclusion in the analysis will ...
Paul, Joyce, Paul, Marjoram
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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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Filtering via approximate Bayesian computation
Statistics and Computing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jasra, Ajay +3 more
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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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