statistics faculty at unc-ch
______________
marron@email.unc.edu
309 Smith
919-962-2188
Fax:
919 962-1279
-
J.
S. Marron
-
Amos Hawley
Distinguished Professor
(Who was Amos Hawley?)
Go here for access to regular course material.
Go here to see some novel data analyses (by smoothing, SiZer, and other methods).
Go here to see some movies (about smoothing and more).
Go here for access to downloadable MATLAB Software for Smoothing.
Go here to see a list of downloadable preprints.
Go here
for papers with the DIstributed Real Time systems group
(statistical analysis of internet traffic)
Go here for downloadable transparencies from talks.
Go here
for Network Data Analysis Study Group Material.
Acknowledgement of support: much of the
research presented
in the above pages was supported by NSF Grants DMS-8902973,
DMS-9203135,
DMS-9504414, DMS-9971649,
DMS-0308331
Recommended Links
XploRe (statistical computing environment produced by Wolfgang Haerdle and MDTech).
KDE
Objects (XLispStat macros written by Frederic Udina).
Education
-
B.S. (1977),
University of California,
Davis; Ph.D. (1982), University of California, Los Angeles.
-
UNC-Chapel Hill (1982
- ):
- Department of Statistics (1982 - 2003)
- Department of Statistics and Operations Research (2003 - )
- Adjunct Professor in Computer Science (2003 - )
- Member, Lineberger Cancer Center (2004 - )
-
Fellow, IMS; Fellow,
ASA, Member,
ISI, Amos R. Hawley Distinguished Professor.
-
Marron's theoretical
interests are
in smoothing methods for curve estimation. This is a flexible and
powerful
approach to data analysis, especially useful in situations where a good
parametric model is unknown, or there is a need for visual model
checking.
Mathematical analysis, especially a wide array of asymptotics, to the
depth
of minimax lower bounds, is a frequently used methodological research
tool
in this area. However computational, numerical and graphical methods
are
also indispensable. These techniques are broadly applicable in most
areas
of science where numbers and uncertainty are involved. Personal
application
areas include biology, economics, geology, human movement, image
analysis,
marketing, ophthalmology and software engineering.
-
(Go here
to see a complete list)
Improved variable window estimators of probability densities (with P. Hall and T. C. Hu), Annals of Statistics, 23 (1995), 1-10.
A brief survey of bandwidth selection for density estimation (with M. C. Jones and S. J. Sheather), Journal of the American Statistical Association, 91 (1996), 401-407.
Bootstrap selection of the smoothing parameter in nonparametric hazard rate estimation (with W. Gonzlez-Manteiga and R. Cao), Journal of the American Statistical Association, 91 (1996), 1130-1140.
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