Dear R community,

I'm curious to know how people go about estimating standard errors for
parameter estimates after model selection by ridge regression and the
lasso.  Do you have any practical or theoretical advice?

Warmly,

Andrew
-- 
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/

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