Statistical Research


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:

Work Supported by DOE Listed Here

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