Feature Selection Methods for Optimal Design of Studies for Developmental Inquiry-Reference-Cited by-同舟云学术

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Feature Selection Methods for Optimal Design of Studies for Developmental Inquiry

Published:2017-02-06 Issue:1 Volume:73 Page:113-123
ISSN:1079-5014
Container-title:The Journals of Gerontology: Series B
language:en
Short-container-title:

Author:

Brick Timothy R¹,Koffer Rachel E¹,Gerstorf Denis¹²³,Ram Nilam¹³

Affiliation:

1. Department of Human Development and Family Studies, Pennsylvania State University, University Park

2. Department of Psychology, Humboldt-Universität zu Berlin, Germany

3. Socio-Economic Panel at the German Institute for Economic Research (DIW), Berlin, Germany

Funder

National Science Foundation

National Institute on Health

Penn State Social Science Research Institute

German Research Foundation

German Federal Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,Clinical Psychology,Social Psychology

Link

http://academic.oup.com/psychsocgerontology/article-pdf/73/1/113/25419465/gbx008.pdf

Reference59 articles.

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2. Blum A. Kalai A. , & LangfordJ. (1999). Beating the hold-out: Bounds for K-fold and progressive cross-validation. Proceedings of the Twelfth Annual Conference on Computational Learning Theory (COLT ‘99), New York, NY: ACM, pp. 203–208. doi:10.1145/307400.307439

3. Structural equation model trees;Brandmaier;Psychological Methods,2013

4. Exploratory data mining with structural equation model trees;Brandmaier,2014

5. Theory-guided exploration with structural equation model forests;Brandmaier;Psychological Methods,2016

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