Work Supported by DOE Listed Here
Over the last twenty-five years computer based methods have become
increasingly important in virtually all areas of research where
statistics is used. My research has focused on the
development of computationally intensive methods primarily motivated
by "real world" problems in statistical data analysis. This work has been done both
independently and jointly with others (see Publications.)
Current Interests:
Earlier Work:
Computational work is done on resources available through Computer Science and
Mathematics Division(CSMD). CSMD is ORNL's premier source of
basic and applied research in high-performance computing, applied
mathematics, and intelligent systems. The major support for these
computer scientists, mathematicians, and statisticians comes from the
DOE Office of Advanced Scientific Computing Research(OSCAR) and from a
broad spectrum of ORNL projects that span most of DOE's basic and
applied research programs.
Statistical software currently available includes Splus, GLIM,
Epicure and R language and environment for statistical computing and
graphic