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Photograph of Michael Baron

Michael Baron Professor Mathematics and Statistics

Languages Spoken
English, Russian, ... and SAS
See Also
Sequential Analysis: Uncovering New Statistical Methods to Solve Some of the World's Biggest Challenges
For the Media
To request an interview for a news story, call 51²è¹Ý Communications at 202-885-5950 or submit a request.

Teaching

Fall 2024

  • STAT-427 Statistical Machine Learning

  • STAT-427 Statistical Machine Learning

Spring 2025

  • STAT-427 Statistical Machine Learning

Scholarly, Creative & Professional Activities

Selected Publications

Books

Probability and Statistics for Computer Scientists, by Michael Baron (426 pp.) Chapman & Hall / CRC, Boca Raton, FL, 2007. ISBN 1584886412.

Its 2nd edition (473 pp.). Chapman & Hall / CRC, Boca Raton, FL, 2013. ISBN 1439875901.

Bourdieu’s Demon. Volume 1: Strategies of the Upper Middle Class in the Information Age, by Richard Baker and Michael Baron (292 pp.) CreateSpace Publishing, North Charleston, SC, 2012. ISBN 147826974X.

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Selected Papers

M. Baron. Asymptotically Pointwise Optimal Change Detection in Multiple Channels, Sequential Analysis: forthcoming, 2014.

X. Yu, M. Baron, and P. Choudhary. Change-Point Detection in Binomial Thinning Processes, with Applications in Epidemiology, Sequential Analysis 32 (3), 350-367, 2013.

S. De and M.Baron. Step-up and step-down methods for testing multiple hypotheses in sequential experiments, J. of Stat. Planning and Inference 142: 2059-2070, 2012.

S. Suzuki and M.Baron. Construction of the optimal sequential plan for testing a treatment for an adverse effect, Sequential Analysis 30 (3): 261-279, 2011.

M. Baron, A. Takken, E. Yashchin, and M. Lanzerotti. Modeling and Forecasting of Defect-Limited Yield in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing, 21(4), 614-624, 2008.

C. Schmegner and M.Baron. Sequential Plans and Risk Evaluation. Sequential Analysis, 26(4), 335--354, 2007.

C. Schmegner and M.Baron. Principles of optimal sequential planning. Sequential Analysis, 23(1), 11--32, 2004.

M.Baron. Bayes stopping rules in a change-point model with a random hazard rate. Sequential Analysis, 20 (3), 147-163, 2001.

M.Baron, C. K. Lakshminarayan, and Z. Chen. Markov random fields in pattern recognition for semiconductor manufacturing. Technometrics, 43 (1), 66-72, 2001.

M.Baron. Nonparametric adaptive change-point estimation and on-line detection. Sequential Analysis, 19 (12), 1-23, 2000.

M.Baron. On statistical inference under asymmetric loss functions. Statistics & Decisions, 18 (4), 367-388, 2000.

Research Interests

  • Sequential analysis and optimal sequential designs
  • Change-point estimation and on-line detection
  • Multiple comparisons
  • Bayesian Inference
  • Application of statistics in epidemiology, clinical trials, semiconductor manufacturing, actuarial science, energy finance, and cyber security Ìý

Honors, Awards, and Fellowships

  • Fellow of the American Statistical Association (2013)“For outstanding contributions to the theory and applications of sequential analysis and change-point problems, excellence in teaching and mentoring of doctoral students, dissemination of statistical knowledge via book authorship, and promotion of statistical research in diverse areas of industry.â€
  • Regents’ Outstanding Teaching Award (2014)
  • Abraham Wald Prize for the best paper in the Journal of Sequential Analysis (2007)
  • Associate Editor of Sequential Analysis
  • Invited Technometrics paper of 2001 Ìý

Grants and Sponsored Research

  • Project: Statistical methods for gaining precision in credibility estimation (PI). Sponsor: Actuarial Foundation, Individual Grants Competition.
  • Project: ATD: Efficient online detection based on multiple sensors, with applications to cybersecurity and discovery of biological threats (PI). Sponsor: National Science Foundation, Mathematical Sciences

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