Sallie Keller McNulty

Sallie Keller, Ph.D. (1956-) is a statistician and a former president of the American Statistical Association (2006) .

Career

Dr. Keller is currently a full professor of Statistics, Social, and Decisional Analytics and director of the Bioinformatics Institute at Virginia Tech.[1] Immediately prior to becoming director of the Bioinformatics Institute at Virginia Tech, she was Dean of Rice University’s George R. Brown School of Engineering. In even earlier career, she was a U.S. government defense security analyst, heading the Statistical Analysis Group at Los Alamos National Laboratory.[2]

Education & Editorial Boards

Sallie Keller received her Ph.d. in statistics from the Iowa State University of Science and Technology (1983). She is a fellow of the ASA. She has edited Statistical Science, the Journal of Computational and Graphical Studies, and the Journal of the American Statistical Society.[2]

Some representative publications and invited presentations

S. Keller, S. Koonin, S. Shipp, 2012. Big data and city living – what can it do for us? Significance, 9(4).

S. Keller, 2010. Vital Statistics, Nature, 467:914.

“From Data to Policy: Scientific Excellence in Our Future, Journal of the American Statistical Society, Vol. 102, No. 478 (2007) Modern Statistical and Mathematical Methods in Reliability: World Scientific Publishing (2005)

“A Paradigm for Masking (Camouflaging) Information”, International Statistical Review, Vol. 72. Issue 3 (2005)

Y. Armijo, N. Limnios, S. Keller-McNulty and A. Wilson, 2005. Modern Statistical and Mathematical Methods in Reliability. Edited volume from the 2004 international symposium on Mathematical Methods in Reliability, World Scientific Press.

D. Higdon, B. Williams, L. Moore, M. McKay, and S. Keller-McNulty, 2004. Uncertainty Quantification for Combining Experimental Data and Computer Simulations. Proceedings of the Foundations '04: A Workshop for VV&A in the 21st Century. Taken from the keynote lecture by S.

Keller-McNulty at the Foundations ’04 Workshop, Tempe, Arizona

“The NISS Digital Government Project," paper delivered before and published in Proceedings of the Sixth U.S. Army Conference on Applied Statistics, Barry A. Bodt, Edward J. Wegman, eds., (2003)

S. Keller-McNulty, and A. G Wilson, 2003. “Reliability for the 21st Century,” Mathematical and Statistical Methods in Reliability, editors Lindqvist and Doksum, World Scientific Publisher. Taken from the keynote lecture by S. Keller-McNulty for the Third International Conference on Mathematical Methods in Reliability, Trondheim, Norway.

George T. Duncan and Sallie A. Keller-McNulty, 2001. Disclosure Risk vs. Data Utility-The R-U Confidentiality Map. Technical Report Number 21, National Institute of Statistical Sciences.

G. Duncan and S. Keller-McNulty, 2001. Bayesian Insights on Disclosure Limitation: Mask or Impute? Proceedings of ISBA 2000,International Society for Bayesian Analysis.

G. Duncan and S. Keller-McNulty, 1999. Risk of Statistical Confidentiality Disclosure: A Preliminary Comparison of Masked and Synthetic Data Release. Paper presented at the National Academy of Sciences, Committee on National Statistics Workshop on Confidentiality, October 14, 1999, Washington, DC.

“Presentation Myths” The American Statistician, Vol. 50, No. 2 (1996)

S. Keller-McNulty and M. S. McNulty, 1996. Statistics and Software and Software Metrics. In A. Melton (Ed.), Software Metrics: Understanding Software Engineering, Chapman Hall, New York.

J. J. Higgins and S. Keller McNulty, 1995. Introduction to Probability and Systems Modelling. Duxbury Press, Boston, Massachusetts. Concepts in Probability and Stochastics Modeling: Duxbury Press (1995)

Data Base Systems: Inferential Security, Journal of Official Statistics, Vol. 9, No. 2 (1993)

S. Keller McNulty and E. A. Unger, 1991. Database Systems: Inferential Security. Paper commissioned by the National Research Council, Panel on Confidentiality and Data Access.

“Behaviors on Military Job Performance Tests” Performance Assessment for the Workplace, Volume II: Technical Issues, © National Academy of Sciences: National Academies Press (1991)

“Enhancing Access to Microdata While Protecting Confidentiality: Prospects for the Future]: Comment” Statistical Science Vol. 6, No. 3 (1991)

S. Keller McNulty, 1989. Statistical Computing Software Review: Graphical Aids for Stochastic Processes. American Statistician, 43(2):123 124.

R. M. Jeager and S. Keller-McNulty, 1985. Procedures for Eliciting and Using Judgments of the Value of Observed Behaviors on Military Job Performance Tests. Paper commissioned by the National Academy of Sciences.

A. Wilson. and S. Keller-McNulty, 2003. Uncertainty Quantification for Complex Engineered Systems, Los Alamos National Lab Technical Report LA-UR-03-7924, 3rd JANNAF (Joint Army Navy NASA Air Force) Modeling and Simulation Subcommittee Meeting.

M. Meyer, S. Keller-McNulty, T. Bement, J. Booker, M. McNulty, N. Singpurwalla, 2001. PREDICT, Los Alamos National Laboratory Technical Report, LA-UR-01-4607.

S. Keller-McNulty and G. Duncan, 2001. Disclosure-Limited Statistical Analysis for Confidential Data to Support NSF-Sponsored Digital Government Grant, Los Alamos National Laboratory Technical Report, LA-UR-01-1673.

A .Wilson and S. Keller-McNulty, 2001. Statistical Representations for Information Integration. Los Alamos National Laboratory Technical Report, LA-UR-00-48-50.

W. F. Eddy, I. M. Johnstone, J. R. Kettenring, S. Keller-McNulty, N. J. Kirkendall, G. C. McDonald, and D. Moore, 1998. Shaping Statistics for Success in the 21st Century: A Panel Discussion. Technical Report I-98-1, Department of Statistics, Kansas State University.

V. Lancaster and S. Keller-McNulty, 1997. The Use of Inverse Theory on an Ill-Posed Composite Sampling Problem. Proceedings of the 22nd Symposium on the Interface of Computer Science and Statistics, Houston, Texas.

V. Lancaster and S. Keller-McNulty, 1996 (revised in 1997) A Review of Composite Sampling Methods. Technical Report I-96-2, Department of Statistics, Kansas State University.

V. Lancaster and S. Keller-McNulty, 1996. The Use of Inverse Theory in Composite Sampling Problems. Proceedings of the Section on Statistics and the Environment, 1996 Joint Meetings, Chicago, Illinois.

S. Chen, R. O. Fox, and S. Keller-McNulty, 1995. Mean Field Estimation for Reactive Turbulent Flow Models. Proceedings of the 20th Symposium on the Interface of Computer Science and Statistics, Pittsburgh, Pennsylvania.

V. Lancaster and S. Keller-McNulty, 1995. Evaluation of the Field X-Ray Fluorescence Spectrometer for the Quantitative Determination of Contaminant Levels in Soils at Hazardous Waste Sites. Technical Report II-95-1, Department of Statistics, Kansas State University.

S. Keller-McNulty and G. Ostrouchov, 1995. Error-Free Least Squares Based on LU Factorization Applicable to Sparse Problems. Technical Report I-95-1, Department of Statistics, Kansas State University.

S. Keller-McNulty, 1995. Error-Free Least Squares Based on Multiple Homomorphic Images. Proceedings of the Statistical Computing Section for the 1994 Joint Meetings, Toronto, Canada.

E. Noren and S. Keller-McNulty, 1994. The Protection of Confidential Data in a Sequential Access Statistical Database. Proceedings of the Survey Research Section of the 1993 Joint Meetings, San Francisco, California.

G. Chen and S. Keller-McNulty, 1994. Database Systems and Data Disclosure Limitation. Proceedings of the Government Statistics Section of the 1993 Joint Meetings, San Francisco, California.

S. Keller-McNulty and M. S. McNulty, 1994. Statistics and Software Metrics. Technical Report II-94-1, Department of Statistics, Kansas State University.

Y. Chen, K. Wong, and S. McNulty, 1994. Discussion of Statistical Methods in Software Metric Validation. Proceedings of the 32nd Annual ACM Southeast Conference.

S. Keller-McNulty and M. McKay, 1991. Probabilistic Model of Terrain Line-of-Sight. Technical Report, Los Alamos National Laboratory, Los Alamos, New Mexico.

S. Keller McNulty, M. S. McNulty, and E. A. Unger, 1989. The Protection of Confidential Data. Proceedings of the 21st Symposium on the Interface of Computer Science and Statistics, Orlando, Florida.

E. A. Unger and S. Keller McNulty, 1988. Modeling Parallelism: An Interdisciplinary Approach. Proceedings of the 20th Symposium on the Interface of Computer Science and Statistics, Washington, D.C.

S. Keller McNulty, 1985. A Numerical Analysis Approach to the Teaching of Statistical Computing. Proceedings of the 17th Symposium on the Interface of Computer Science and Statistics, Lexington, Kentucky.

S. Keller McNulty, 1984. Error Free Computation of the Moore Penrose Inverse. Proceedings of the Statistical Computing Section of the 1984 Joint Meetings, Philadelphia, Pennsylvania.

See also

References

  1. ↑ Virginia Tech
  2. 1 2 "National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Modeling and Simulation for Defense Transformation" Defense Modeling, Simulation, and Analysis: Meeting The Challenge (2006) National Academy Press, p. 81
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