Introduction to Model Estimation and Selection Methods

Antonio Kolossa ()
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Antonio Kolossa: Technische Universität Braunschweig, Institut für Nachrichtentechnik

Chapter Chapter 2 in Computational Modeling of Neural Activities for Statistical Inference, 2016, pp 15-40 from Springer

Abstract: Abstract When conducting interdisciplinary research, the employed methods may not be common knowledge in all involved fields. This chapter serves to make this work accessible to a wide audience by describing in detail the methods used formodel estimation and selection.

Keywords: Design Matrix; Expectation Maximization Algorithm; Bayesian Model Selection; Posterior Model Probability; Small Mean Square Error (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-32285-8_2

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DOI: 10.1007/978-3-319-32285-8_2

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