Abstract
Since standard software does not incorporate the full spectrum of model search techniques, more sophisticated methods are not often used in practice. This paper aims to give a rundown of what is possible in this area and indicates some ideas for applications not previously thought of.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adèr, H.J., Kuik, D.J. & van Rossum, H. (1996). Parallel model selection in Logistic Regression Analysis. In: COMPSTAT96 Proceedings in Computational Statistics (ed. A. Prat), 163–168. Barcelona: Physica-Verlag.
Akaike, H. (1974). A New Look at the Statistical Model Identification. IEEE AC, 19, 716–723.
Edwards, D. (1995). Introduction to Graphical Modelling. New York: Springer.
Edwards, D. & Havránek, T. (1987). A Fast Model Selection Procedure for Large Families of Models. Journal of the American Statistical Association, 82 (397), 205–213.
Havránek, T. (1992). Parallelization and Symbolic Computation Techniques in Model Search. In: SoftStat ’91. Advances in Statistical Software (ed. F. Faulbaum), 219–227. Stuttgart-New York: Gustav Fischer Verlag.
Hosmer, D.W. & Lemeshow, S. (1989). Applied Logistic Regression. New York — Chichester — Brisbane — Toronto — Singapore: John Wiley & Sons.
Mitchell, T. (1977). Version spaces: a candidate elimination approach to rule learning. In: Proceedings Fifth International Joint Conference on Artificial Intelligence IJCAI-77. Pittsburgh, PA.
Schwarz, G. (1978). The Bayesian Information Criterion. Ann. Statist., 6, 461–464.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Adèr, H.J., Kuik, D.J., Edwards, D. (1998). Model Search: An Overview. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-662-01131-7_14
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1131-5
Online ISBN: 978-3-662-01131-7
eBook Packages: Springer Book Archive