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Scott Alan Vander Wiel

Scott Vander Wiel

Email
Phone (505) 665-8037

Expertise

Scott is a fellow of the American Statistical Association who has conducted statistics research at Los Alamos National Laboratory since 2005 and previously at Bell Laboratories since 1991. He collaborates with engineers and scientists to analyze data and develop statistical methodology for problems in diverse areas such as system reliability, cyber security, network tomography, radio astronomy, computer worm detection, numerical optimization and quality improvement. Scott won the ASA prize for Outstanding Statistical Applications and the ASQ Frank Wilcoxon prize for the Best Practical Application for a 2002 paper on modeling bandwidth in optical fiber. He holds patents on methods for network traffic modeling and for incremental quantile estimation. At Bell Labs he worked on numerous teams that won corporate achievement awards. At LANL he has focused on streaming radio astronomy analysis, weapons reliability modeling and uncertainty quantification, high explosive surveillance and cyber security.

Scott's current projects include:

Uncertainty Quantification for Advanced Certification of Stockpile Devices

Spatial Extremes in Performance of Materials

Streaming Discovery of Astronomical Fast Radio Bursts

High Explosives Safety 

Uncertainty Quantification for Nuclear Forensics 

 

Education

Ph.D. Statistics, Iowa State University (1991). Dissertation: “Some Aspects of Monitoring and Control of Univariate Dynamic Systems”

M.S. Statistics, Iowa State University (1987)

B.S. Industrial Engineering, Iowa State University (1985)

 

Professional Societies

Member, National Academies of Sciences Panel on Reliability Growth Methods for Defense Systems (2011-2014)

Member, Technometrics journal management committee (2013-2015)

President, ASA Albuquerque Chapter (2006-2007)

Vice President, ASA Albuquerque Chapter (2005-2006)

 

Awards

Fellow, American Statistical Association (2005)

 

Publications

Vander Wiel, S.A., Bent, R., Casleton, E., Lawrence, E. (2014). “Identification of Downed Lines in Power Grids from Phasor Measurements.”  Discussion Paper accepted for publication in Applied Stochastic Models in Business and Industry.

Storlie, C.B., Anderson, B., Vander Wiel, S.A., Quist, D., Hash, C., Brown, N. (2014).  “Stochastic Identification and Clustering of Malware with Dynamic Traces.” Annals of Applied Statistics, 8(1), pp. 1-18.

Myers, K. and Vander Wiel, S.A. (2014). “Discussion of ‘Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics.’”  Accepted for publication in Statistical Analysis and Data Mining.

Weaver, B.P., and Vander Wiel, S.A. (2013). “Accelerated Events with Multiple Thresholds.” In revision for Journal of the American Statistical Association.

Zoh, R.S., Wilson, A.G., Vander Wiel, S.A., Lawrence, E.C (2013).  “The Negative Log-Gamma Prior Distribution for Bayesian Assessment of System Reliability.” In revision for IEEE Transactions on Reliability.

Lawrence, E., Bent, R., and Vander Wiel, S.A. (2013).  “Model Bank State Estimation for Power Grids Using Importance Sampling.” Technometrics, 55(4), 426-435.

Michalak, S., DuBois, A., DuBois, D., Vander Wiel, S., Hogden, J. (2012).  “Developing Systems for Real-Time Streaming Analysis.”  Journal of Computational and Graphical Statistics, 21(3) pp. 561-580.

Hogden, J., Vander Wiel, S., Bower, G. C., Michalak, S., Siemion, A., and Werthimer, D. (2012). “Comparison of Radio-frequency Interference Mitigation Strategies for Dispersed Pulse Detection.” The Astrophysical Journal, 747(2), 141-150.

Hamada, M.S., Huzurbazar, A.V., Vander Wiel, S.A. and Wilson, A.G. (2011).  “Assessing the Risks of Sampling Rates for Surveilling a Population.”  Quality Engineering, 23(3), pp. 242-252.

Vander Wiel, S.A., Wilson, A.G., Graves, T.L., Reese, C.S. (2011).  “A Random Onset Model for Degradation of High-Reliability Systems.”  Technometrics, 53(2), pp. 163-172.

Lewandowski, A., Liu, C. and Vander Wiel, S. (2011).  “Parameter Expansion and Efficient Inference.”  Statistical Science, 25(4), pp. 533-544.

Liu, C. and Vander Wiel, S.A. (2007). “Statistical Quasi-Newton: A New Look at Least-Change” SIAM Journal on Optimization, 18(4), pp. 1266–1285.

Crowder, S., and Vander Wiel S.A. (2007). “Exponentially Weighted Moving Average Control Charts.”  Encyclopedia of Statistics in Quality and Reliability, F. Ruggeri, R. Kenett, F. Faltin, eds. Wiley, Chichester, UK, 824-828.

Chambers, J.M., James, D.J., Lambert, D. and Vander Wiel, S.A. (2006). “Monitoring Networked Applications using Incremental Quantiles” with discussion, Statistical Science, 21(4), pp. 463-486.

Bu, T., Chen, A., Vander Wiel, S.A. and Woo, T. (2006). “Design and Evaluation of a Fast and Robust Worm Detection Algorithm.” IEEE INFOCOM 2006, Barcelona, Spain.

Liu, C., Vander Wiel, S.A., Yang, J. (2003). “A Nonstationary Traffic Train Model for Fine Scale Inference From Coarse Scale Counts.” IEEE Journal on Selected Areas in Communications, 21(6), pp. 895–907.

Golowich, S.E., Landwehr, J.M., and Vander Wiel, S.A. (2002). “Interplay Between Physics and Statistics in Modeling Bandwidth of Optical Fiber.” Technometrics, 44(3), pp. 215–229.

Cao, J., Davis, D., Vander Wiel, S., Yu, B. (2000). “Time-Varying Network Tomography: Router Link Data” Journal of the American Statistical Association, 95(452), pp. 1063–1075.

Vander Wiel, S.A. (1996). “Monitoring Processes that Wander Using Integrated Moving Averages.” Technometrics, 38(1), pp. 139–151.

Vander Wiel, S.A. (1996). “Optimal Discrete Adjustments for Short Production Runs” Probability in the Engineering and Informational Sciences, 10, pp. 119–151.

Vander Wiel, S.A. and Vardeman, S.B. (1994). “A Discussion of ‘All or None’ Inspection Policies.”  Technometrics, 36(1), pp. 102–109.

Tucker, W.T., Faltin, F.W., and Vander Wiel, S.A. (1993). “Algorithmic Statistical Process Control: An Elaboration.” Technometrics, 35(4), pp. 363–375.

Eick, S.G., Loader, C.R., Long, M.D., Vander Wiel, S.A., and Votta, L.G. (1993). “How Many Errors Remain in a Software Design Document After Inspection.” Computing Science and Statistics: Proc. of the 25th Symposium on the Interface, Michael E. Tarter and Michael D. Lock (editors). Interface Foundation of North America, San Diego, pp. 195-202.

Vander Wiel, S.A. and Votta, L.G. (1993). “Assessing Software Designs using Capture-Recapture Methods.” IEEE Transactions on Software Engineering, 19(11), pp. 1045-1054.

Faltin, F.W., Hahn, G.J., Tucker, W.T., and Vander Wiel, S.A. (1993). “Algorithmic Statistical Process Control: A Tool for Reducing Product Variability - Some Practical Observations.” International Statistical Review, 61(1), pp 67-80.

Eick, S.G., Loader, C.R., Long, M.D., Vander Wiel, S.A., and Votta, L.G. (1992). “Estimating Software Fault Content Before Coding.” Proc. 14th International Conference on Software Engineering, pp. 59–65.

Vander Wiel, S.A. and Vardeman, S.B. (1992). Discussion of “Statistical Process Monitoring and Feedback Control—A Discussion” by G.E.P. Box and T. Kramer. Technometrics, 34(4), pp. 278–281.

Vander Wiel, S.A., Tucker, W.T., Faltin, F.W., and Doganaksoy, N. (1992). “Algorithmic Statistical Process Control: Concepts and an Application.” Technometrics, 34(3), pp. 286–297.

Vander Wiel, S.A. and Meeker, W.Q. (1990). “Accuracy of Approximate Confidence Bounds Using Censored Weibull Regression Data From Accelerated Life Tests.” IEEE Transactions on Reliability, 39(3), pp. 346–351.