Document Detail

Stepwise variable selection and maximum likelihood estimation of smoothing factors of kernel functions for nonparametric discriminant functions evaluated by different criteria.
MedLine Citation:
PMID:  3971705     Owner:  NLM     Status:  MEDLINE    
Kernel functions are used to estimate the probability density functions of variables for nonparametric discriminant analysis. In connection with stepwise variable identification a stepwise maximum likelihood estimation procedure for the estimation of smoothing factors of the kernel functions is developed. This procedure allows a step-by-step estimation of smoothing factors for every variable which is considered to be added to the model or which is examined to substitute a variable in a model. Different criteria for model evaluation in stepwise discriminant analysis are discussed. Beside criteria, like distance and dependence functions and the error and nonerror rate, a criterion which considers the ratio of probability densities of different classes at point x is proposed for stepwise variable identification. An application of the procedures described in this study to a medical decision problem shows the importance of stepwise parameter estimation of kernel functions for nonparametric discriminant analysis and the role of different model evaluation criteria for the selection of the best subset of variables.
K P Pfeiffer
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Computers and biomedical research, an international journal     Volume:  18     ISSN:  0010-4809     ISO Abbreviation:  Comput. Biomed. Res.     Publication Date:  1985 Feb 
Date Detail:
Created Date:  1985-04-19     Completed Date:  1985-04-19     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0100331     Medline TA:  Comput Biomed Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  46-61     Citation Subset:  IM    
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MeSH Terms
Cerebrovascular Disorders / etiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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