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Efficient bayesian learning in non‐linear dynamic models
Author(s) -
Pole Andy,
West Mike
Publication year - 1990
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.3980090205
Subject(s) - computer science , cover (algebra) , bayesian probability , foundation (evidence) , dynamic bayesian network , variable order bayesian network , machine learning , artificial intelligence , bayesian inference , engineering , mechanical engineering , archaeology , history
This paper demonstrates the practical application of recently developed techniques of efficient numerical analysis for dynamic models. The models presented share a common basic structural foundation but nevertheless cover a very large arena of possible applications, as will be shown.