--- res: bibo_abstract: - Continuous-time Markov chain (CTMC) models have become a central tool for understanding the dynamics of complex reaction networks and the importance of stochasticity in the underlying biochemical processes. When such models are employed to answer questions in applications, in order to ensure that the model provides a sufficiently accurate representation of the real system, it is of vital importance that the model parameters are inferred from real measured data. This, however, is often a formidable task and all of the existing methods fail in one case or the other, usually because the underlying CTMC model is high-dimensional and computationally difficult to analyze. The parameter inference methods that tend to scale best in the dimension of the CTMC are based on so-called moment closure approximations. However, there exists a large number of different moment closure approximations and it is typically hard to say a priori which of the approximations is the most suitable for the inference procedure. Here, we propose a moment-based parameter inference method that automatically chooses the most appropriate moment closure method. Accordingly, contrary to existing methods, the user is not required to be experienced in moment closure techniques. In addition to that, our method adaptively changes the approximation during the parameter inference to ensure that always the best approximation is used, even in cases where different approximations are best in different regions of the parameter space. © 2016 Elsevier Ireland Ltd@eng bibo_authorlist: - foaf_Person: foaf_givenName: Christian foaf_name: Schilling, Christian foaf_surname: Schilling - foaf_Person: foaf_givenName: Sergiy foaf_name: Bogomolov, Sergiy foaf_surname: Bogomolov foaf_workInfoHomepage: http://www.librecat.org/personId=369D9A44-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0002-0686-0365 - foaf_Person: foaf_givenName: Thomas A foaf_name: Henzinger, Thomas A foaf_surname: Henzinger foaf_workInfoHomepage: http://www.librecat.org/personId=40876CD8-F248-11E8-B48F-1D18A9856A87 orcid: 0000−0002−2985−7724 - foaf_Person: foaf_givenName: Andreas foaf_name: Podelski, Andreas foaf_surname: Podelski - foaf_Person: foaf_givenName: Jakob foaf_name: Ruess, Jakob foaf_surname: Ruess foaf_workInfoHomepage: http://www.librecat.org/personId=4A245D00-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0003-1615-3282 bibo_doi: 10.1016/j.biosystems.2016.07.005 bibo_volume: 149 dct_date: 2016^xs_gYear dct_language: eng dct_publisher: Elsevier@ dct_title: Adaptive moment closure for parameter inference of biochemical reaction networks@ ...