Abstract
This book is concerned with modelling, learning and forecasting. A basic view of scientific modelling is that a model is any “simplified description of a system (etc.) that assists calculations and predictions” (Oxford English Dictionary). More broadly, a model is any scheme of description and explanation that organises information and experiences providing a means of learning and forecasting. The prime reason for modelling is to provide efficient learning processes which will enhance understanding and enable wise decisions.
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© 1989 Springer Science+Business Media New York
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West, M., Harrison, J. (1989). Introduction. In: Bayesian Forecasting and Dynamic Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-9365-9_1
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DOI: https://doi.org/10.1007/978-1-4757-9365-9_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-9367-3
Online ISBN: 978-1-4757-9365-9
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