搜索结果: 1-15 共查到“统计学 Rejoinder”相关记录16条 . 查询时间(0.062 秒)
REJOINDER: THE DANTZIG SELECTOR:STATISTICAL ESTIMATION WHEN P IS MUCH LARGER THAN N
DANTZIG SELECTOR STATISTICAL ESTIMATION MUCH LARGER THAN N
2015/6/17
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...
Rejoinder to "Statistical Modeling of Spatial Extremes"
Rejoinder "Statistical Modeling of Spatial Extremes"
2012/9/17
We are grateful to the discussants for their posi-tive and interesting comments. In an area moving so rapidly it is to be expected that our review overlooks
some work, and all the contributions helpf...
Rejoinder to "Multiple Testing for Exploratory Research"
Rejoinder "Multiple Testing for Exploratory Research"
2012/9/17
We are thankful to the three discussants for their helpful and stimulating comments to our work. We value especially the many suggestions for extensions of the methodology given by all three discussan...
In writing my essay I presumed I was voicing,with a few novel nuances, a nearly universal attitude among contemporary statistical practitioners—at least among those who had wrestled with the incom-pat...
Rejoinder: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
Climate change global warming paleoclimatology tempera-ture reconstruction model validation cross-validation time series
2011/6/17
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: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/21
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
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.
Rejoinder: Likelihood Inference for Models with Unobservables Another View
Rejoinder Likelihood Inference Models Unobservables Another View
2010/10/15
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...
A Rejoinder to Mackintosh and some Remarks on the Concept of General Intelligence
Rejoinder Mackintosh Concept General Intelligence
2010/4/30
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...
Rejoinder：Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Rejoinder Gibbs Sampling Exponential Families Orthogonal Polynomials
2010/4/30
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...
Rejoinder：One-step sparse estimates in nonconcave penalized likelihood models
Rejoinder One-step sparse estimates nonconcave penalized likelihood models
2010/4/30
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...
Rejoinder：The 2005 Neyman Lecture：Dynamic Indeterminism in Science
Rejoinder 2005 Neyman Lecture Dynamic Indeterminism Science
2010/4/30
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...
Rejoinder：Microarrays，Empirical Bayes and the Two-Groups Model
Rejoinder Microarrays Empirical Bayes Two-Groups Model
2010/4/30
The Fisher–Neyman–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...