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First of all, we would like to thank all the discussants for their interest and comments, as well as for their thorough investigation. The comments all underlie the importance and timeliness of the to...
We heartily thank Michael Stein and Brad Efron for selecting our paper for discussion and for the tremendous task of recruiting and editing 13 discussion articles on this controversial and timely to...
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Our three discussants fit an “ideal statistican”profile, combining deep theoretical understanding with serious scientific interests. The three essayswhich are more than commentaries on my articlerefle...
First of all we want to thank the editor, Michael Newton, for leading the review and discussion of our work.
First we should like to thank the editor for allowing us to respond to interesting discussions from the discussants,Molenberghs, Kenward and Verbeke (MKV), Louis and Meng, for the effort they have put...
In 2000 Nicholas J. Mackintosh (2000) published an article in Nature referring to the concept of general intelligence (“g”) claiming that there is clear empirical evidence for the existence of the g...
We are thankful to the discussants for their hard, interesting work. The main purpose of our paper was to give reasonably sharp rates of convergence for some simple examples of the Gibbs sampler. We...
We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work. The discussants raised a number of issues from theoretical as well as co...
The FisherNeyman–Pearson theory of hypothesis testing was a triumph of mathematical elegance and practical utility. It was never designed, though, to handle 10,000 tests at once, and one can see c...
I was so fortunate as to spend formative periods of my statistical career watching and working near two of the powerhouses of twentieth-century statistics— Jerzy Neyman (JN) and John Tukey. The fir...

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