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We congratulate the authors for producing such a helpful and comprehensive overview paper of a ra-pidly developing and important area. The starting point for inference in spatial extreme value prob-le...
The review paper on spatial extremes by Davison,Padoan and Ribatet is a most welcome contribu-tion. The authors cover quite a lot of ground, mak-ing connections between different approaches while high...
We congratulate the authors for their overview paper discussing modeling techniques for spatial ex-tremes. There is great interest in spatial extreme data in the atmospheric science community, as the...
Closure-based multiple testing procedures for con-trolling the familywise error rate (FWER) have been around for decades, but they have not been well un-derstood, and hence have been under-appreciated...
I want to congratulate the authors on this thought-provoking and important paper on multiple testing in exploratory settings.Standard Multiple Testing procedures can appear very mechanistic. Hypothese...
Goeman and Solari [Statist. Sci.26 (2011) 584–597] have addressed the interesting topic of multiple testing for exploratory re-search, and provided us with nice suggestions for exploratory analysis.Th...
Rob Kass presents a fascinating vision of a “post”-Bayes/frequentist-controversy world in which prac-tical utility of statistical models is the guiding prin-ciple for statistical inference.
Kass states (page 5) that Figure 3 is not a good general description of statistical inference and that Figure 1 is more accurate. I completely agree. Kass states (page 5) that “It is important for stu...
In this piece, Rob Kass brings to bear his insights from a long career in both theoretical and applied statistics to reflect on the disconnect between what we teach and what we do.
McShane andWyner (2011) (henceforthMW) analyze a dataset of “proxy” climate records previously used by Mann et al. (2008) (henceforth M08) to attempt to assess their utility in reconstructing past t...
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...
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...
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...
This technical report is the union of two contributions to the discussion of the Read Paper Riemann manifold Langevin and Hamiltonian Monte Carlo methods (Calderhead and Girolami, 2010), presented in ...
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...

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