statistics faculty at unc-ch
(Who was Amos Hawley?)
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 to see a list of downloadable preprints.
Go here for
downloadable transparencies from talks.
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, DMS-0606577 and
also many other grants with a wide range of
XploRe (statistical computing environment produced by Wolfgang Haerdle and MDTech).
Objects (XLispStat macros written by
SiZer in R, (by Derek Sonderegger)
- Department of Statistics (1982 - 2003)
- Department of Statistics and Operations Research (2003 - )
- Adjunct Professor in Computer Science (2003 - )
- Member, Lineberger Cancer Center (2004 - )
- Department of Biostatistics (2007 - )
Marron's previous theoretical interests were in smoothing methods for curve estimation. These give 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.
“Visualizing the Structure of
Large Trees”, Aydin, B., Pataki, G., Wang, H.,
Ladha, A., Bullitt, E. Marron, J. S. (2011) Electronic Journal of Statistics,
“Principal Arc Analysis on
direct product manifolds”, S. Jung, M. Foskey
and J. S. Marron (2011) The Annals
of Applied Statistics, 5, 578-603.
“Asymptotic Properties of
Distance-Weighted Discrimination”, Qiao, X.,
Zhang, H. H., Liu, Y., Todd, M. J. and Marron,
J. S. (2010) Journal of the
American Statistical Association, 105,
“PCA Consistency in High Dimension, Low Sample Size Context”, Jung, S. and Marron, J. S., (2009), Annals of Statistics, 37, 4104-4130.
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.