Summary of research interests
Dr. Babu has diverse research interests in both statistics
and probability, and their applications to problems
in biomedical research, genetics, astronomy and astrophysics.
He has contributed extensively to probabilistic number
theory, resampling methods, nonparametric methods, statistical
group theory and asymptotic theory.
Dr. Babu is leading an NSF
supported multi-institutional interdisciplinary
VO
Project to develop statistical methodology for the
National
Virtual Observatory. A novel prototype VOStat
Web service whereby statistical computations are performed
on Virtual Observatory datasets, was developed under
this project.
Dr. Babu is also the leading statistician of the GRIST
(Grid Data Mining for Astronomy) project, involving
California Institute of Technology, NASA Jet Propulsion
Laboratory, Penn State and Carnegie Mellon University.
The project is developing a grid-technology based system
as a research environment for astronomy with massive
and complex datasets.
Dr. Babu is the Director of the Center
for Astrostatistics, which serves as a crossroads
where researchers at the interface between statistics,
data analysis, astronomy, space and observational physics
collaborate, develop and share methodologies, and together
prepare the next generation of researchers. The Center's
partners include: Statistical and Applied Mathematical
Sciences Institute; European Computational and information
infrastructure in the Astronomical DataGrid; Centre
de Donnees astronomiques de Strasbourg, France.
Dr. Babu is a Fellow of the American Association for the
Advancement of Science, a Fellow of the Institute of Mathematical
Statistics, a Fellow of American
Statistical Association, an elected member
of the International Statistical
Institute and a National
Research Council's Twinning
Fellow (1997-1999).
Dr. Babu is the Editor-in-Chief of Statistical
Methodology. He is also on the editorial board of
Journal
of Nonparametric Statistics and Sankhya.
Dr. Babu is the Professor-in-charge of the Master
of Applied Statistics program in the Department
of Statistics. This is a professional masters degree
program that aims to provide its graduates with employable,
highly sought after skills in Applied Statistics demanded
by government agencies, consulting firms and industries.
Representative publications
Babu, G. J., Boyarsky, A., Chaubey, Y. P. and Gora,
P. New statistical method for filtering and entropy
estimation of a chaotic map from noisy data. International
Journal of Bifurcation and Chaos, 14 (2004) no.
11, 3989-3994.
Babu, G. J. and Djorgovski, S. George. Some statistical
and computational challenges, and opportunities in astronomy.
Statistical Science, 19 (2004) no. 2, 322-332.
Babu, G. J. A note on the bootstrapped empirical process.
J. Statist. Plann. Inference, 126 (2004) no.
2, 587-589.
Babu, G. J. and Rao, C. R. Goodness-of-fit tests when
parameters are estimated. Sankhya, Series A,
66 (2004) no. 1, 63-74.
Babu, G. J. and Rao, C. R. Confidence limits to the
distance of the true distribution from a misspecified
family by bootstrap. J. Statist. Plann. Inference
115 (2003) no. 2, 471-478.
Babu, G. J., Singh, K., and Yang, Y. Edgeworth expansions
for compound poisson processes and the bootstrap. The
Ann. Inst. Statist. Math. 55 (2003) no. 1, 83-94.
Feigelson, E. D. and Babu, G. J. Statistical Challenges
in Astronomy, Springer-Verlag, New York, 2003.
Last updated: 24 February
2005 |
