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From: OsherD on 30 Apr 2010 00:28
From Osher Doctorow

E. H. Lehmann, 1966, "Some concepts of dependence," Ann. Math. Statist
37, 1137-1153, introduced Positive and Negative Quadrant Dependence
(see various papers in this thread).

Wikipedia, "Copula (Statistics)" references the linked paper
"Properies and applications of copulas: a brief survey," by Roger B.
Nelsen, Lewis and Clark College http://legacy/;c;arl/edu (~ mathsci/
brazil.pdf) 18 pages, which has as its most recent reference yar 2003,
so it was written sometime from 2003 onward.

Nelsen et al list 39 papers on Copulas not explicitly from arXiv. The
most recent researchers in those papers from 2000 to 2003 are:

1) C. Alsina
2) C. M. Cuadras
3) Ubeda Flores
4) J. Fortiana
5) M. J. Frank
6) Rodriguez Lallena
7) X Li
8) P. Mikusinski
9) Quesada Molina
10) R. B. Nelsen
11) B. Schweizer
12) M. D. Taylor
13) W. Wang
14) M. T. Wells

The basic idea of Positive Quadrant Dependence is:

15) P(X < = x, Y < = y) > P(X < = x)P(Y < = y)

Osher Doctorow
From: OsherD on 30 Apr 2010 01:35
From Osher Doctorow

Of the list of researchers above, the following known universities are
represented (with coauthors' names and universities in parentheses
also):

1) Lewis and Clark College Portland Oregon USA (Nelsen).
2) U. de Almeria Spain (Rodriguez-Lallena).
3) U. Central Florida Orlando Florida USA (Taylor).
4) Johannes Kepler U. Linz Austria (coauthors Fabrizio Durante and
Erich Peter Klement of Jose Juan Quesada-Molina).
5) U. de Granada Spain (Jose Juan Quesada-Molina).
6) Cornell University Department of Biological Statistics and
Computational Biology USA (Wells).

Wells' paper is from 2010 (January), as is one of Taylor's 2 papers.

Osher Doctorow
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