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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx626
Abstract: Abstract Summary Biological models contain many parameters whose values are difficult to measure directly via experimentation and therefore require calibration against experimental data. Markov chain Monte Carlo (MCMC) methods are suitable to estimate multivariate posterior…
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Keywords:
high dimensional;
parameter inference;
biological models;
pydream ... See more keywords