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Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
reconstructions of surface temperatures statistical analysis paleoclimate reconstructions
2011/6/16
As McShane and Wyner (2011) observe, there are formidable statistical
problems in “reconstructing” past temperatures from networks of so-called
“proxy” data with weak “signal” and complicated autoco...
Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
reconstructions of surface temperatures statistical analysis proxy-based reconstruction
2011/6/16
The authors are to be congratulated on the clarity of their paper, which
gives discussants and readers much to sink their teeth into. My comments
are somewhat critical, but this should in no way dev...
Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
statistical analysis reconstructions of surface temperatures application of statistics
2011/6/16
This article (MW) has stimulated much valuable discussion and helped to
focus attention on an important area for the application of statistics. Given
the short amount of space, however, we reluctant...
Introducing the discussion paper by Székely and Rizzo
Introducing the discussion paper Székely and Rizzo
2010/10/19
I recall a great sense of excitement in the seminar room in Madison after Professor Sz´ekely presented the astonishing findings about distance covariance (in the spring of 2008). It was one of t...
Discussion of “Multivariate quantiles and multiple-output regression quantiles：From L1 optimization to halfspace depth”
Multivariate quantiles multiple-output regression quantiles L1 optimization halfspace depth
2010/3/10
First I would like to congratulate the authors for developing a new concept
of directional quantile contours. The work will contribute well to the pursuit
of multivariate quantiles. The multiple out...
Discussion: One-step sparse estimates in nonconcave penalized likelihood models
Discussion One-step sparse estimates nonconcave penalized likelihood models
2010/4/30
Hui Zou and Runze Li ought to be congratulated for their nice and interesting
work which presents a variety of ideas and insights in statistical
methodology, computing and asymptotics.
We agree wit...
Discussion：One-step sparse estimates in nonconcave penalized likelihood models：Who cares if it is a white cat or a black Cat?
One-step sparse estimates nonconcave penalized likelihood models
2010/4/30
An insider’s minor comments. Section 2.3 seems to be the reason
that I am a discussant. There, it was first stated that the proposed LLA
algorithm is an instance of the MM algorithm, as termed by La...
Discussion paper Conditional growth charts
Centile reference curves longitudinal data quantile regression semiparametric
2010/4/26
Columbia University and University of Illinois
Growth charts are often more informative when they are customized
per subject, taking into account prior measurements and
possibly other covariates of...