Model selection for dynamical systems via sparse regression and information criteria
نویسندگان
چکیده
منابع مشابه
Model selection for dynamical systems via sparse regression and information criteria
We develop an algorithm for model selection which allows for the consideration of a combinatorially large number of candidate models governing a dynamical system. The innovation circumvents a disadvantage of standard model selection which typically limits the number of candidate models considered due to the intractability of computing information criteria. Using a recently developed sparse iden...
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ژورنال
عنوان ژورنال: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
سال: 2017
ISSN: 1364-5021,1471-2946
DOI: 10.1098/rspa.2017.0009