Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
نویسندگان
چکیده
منابع مشابه
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo.
Computational systems biology is concerned with the development of detailed mechanistic models of biological processes. Such models are often stochastic and analytically intractable, containing uncertain parameters that must be estimated from time course data. In this article, we consider the task of inferring the parameters of a stochastic kinetic model defined as a Markov (jump) process. Infe...
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ژورنال
عنوان ژورنال: Interface Focus
سال: 2011
ISSN: 2042-8898,2042-8901
DOI: 10.1098/rsfs.2011.0047