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Neyman-Pearson classification, convexity and stochastic constraints
binary classifi cation Neyman-Pearson paradigm anomaly detection stochastic constraint convexity empirical risk minimization chance constrained optimization
2011/3/25
Motivated by problems of anomaly detection, this paper implements the Neyman-Pearson paradigm to deal with asymmetric errors in binary classification with a convex loss. Given a finite collection of c...
The smooth tests for testing uniformity were introduced
by Neyman [15]. The data driven method of selecting the
number d components in a smooth test for uniformity is discussed,
including the rust-...
On a weather modification problem of Professor Neyman
a weather modification problem Professor Neyman
2009/9/22
In a 1975'paper Professor J. Neyman posed a problem
concerning the average travel time of the effects of cloud seeding. That
problem is here discussed in the context of stochastic point processes.
...
Neyman and the Behrens-Fisher problem - an anecdote
Neyman the Behrens-Fisher problem an anecdote
2009/9/22
A,n anecdote relating to the Behrens-Fisher problem
illustrates the need for statisticians to be familiar with all four main
approaches to the foundations of statistical inference, and with their
r...
Reconsidering Neyman on experimentation and sampling: controversies and fundamental contributions
Reconsidering Neyman experimentation sampling controversies fundamental contributions
2009/9/22
What seems especially fascinating to us, having taken the
occasion of the 100th anniversary of Neyman's birth to reread many of the
early papers and writings in the areas of sampling and experimenta...
Neyman is well known for his fundamental contributions
to the theory of statistics, but he started his statistical career by a series of
papers on applications of statistics. These were applications...
A dramaticsmeeting of the Royal Statistical Society occurred on December 18, 1934,
when R. A. Fisher - already at the height of his fame although not universally
popular - presented a paper on The l...
The 2005 Neyman Lecture：Dynamic Indeterminism in Science
Animal motion ATV motion elk Jerzy Neyman lifetable monk seal population dynamics sardines stochastic differential equations
2010/4/30
Jerzy Neyman’s life history and some of his contributions to
applied statistics are reviewed. In a 1960 article he wrote: “Currently
in the period of dynamic indeterminism in science, there is hardl...
Comment：The 2005 Neyman Lecture：Dynamic Indeterminism in Science
Comment 2005 Neyman Lecture Dynamic Indeterminism Science
2010/4/30
Professor Brillinger is to be congratulated on this
paper which is both a contribution to the history of
statistics and an introduction to statistical modeling
using stochastic processes, a topic t...
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...