Statistical modeling is a crucial issue in scientific data analysis. Models are used to represent stochastic structures, predict future behavior, and extract useful information from data. In this chapter, we discuss statistical models and modeling methodologies such as parameter estimation, model selection, regularization method, and hierarchical Bayesian modeling. Finally, the organization of this book is described.
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© 2008 Springer Science+Business Media, LLC
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(2008). Concept of Statistical Modeling. In: Information Criteria and Statistical Modeling. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-71887-3_1
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DOI: https://doi.org/10.1007/978-0-387-71887-3_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-71886-6
Online ISBN: 978-0-387-71887-3
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