Parameter redundancy and identifiability in hidden Markov models
نویسندگان
چکیده
منابع مشابه
Parameter Identifiability and Redundancy: Theoretical Considerations
BACKGROUND Models for complex biological systems may involve a large number of parameters. It may well be that some of these parameters cannot be derived from observed data via regression techniques. Such parameters are said to be unidentifiable, the remaining parameters being identifiable. Closely related to this idea is that of redundancy, that a set of parameters can be expressed in terms of...
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ژورنال
عنوان ژورنال: METRON
سال: 2019
ISSN: 0026-1424,2281-695X
DOI: 10.1007/s40300-019-00156-3