The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.

ABSTRACT: We explore the relationship among experimental design, parameter estimation, and systematic error in sloppy models. We show that the approximate nature of mathematical models poses challenges for experimental design in sloppy models. In many models of complex biological processes it is unknown what are the relevant physical mechanisms that must be included to explain system behaviors. As a consequence, models are often overly complex, with many practically unidentifiable parameters. Furthermore, which mechanisms are relevant/irrelevant vary among experiments. By selecting complementary experiments, experimental design may inadvertently make details that were ommitted from the model become relevant. When this occurs, the model will have a large systematic error and fail to give a good fit t

SUBMITTER: White A 

PROVIDER: S-EPMC5140062 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature