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Michael Baron

Professor Department of Mathematics and Statistics

Languages Spoken
English, Russian, ... and SAS
CAS - Math & Statistics
Don Myers Building - 106D
Contact Info
(202) 885-3130

Send email to Michael Baron

For the Media
To request an interview for a news story, call AU Communications at 202-885-5950 or submit a request.
See Also
Mathematics & Statistics Department


  • Spring 2017

    • STAT-517 Spec Topic in Statistical Meth: Stat Method in Clinical Trials
    • Description
    • STAT-798 Statistical Resch & Consulting: Methods in Clinical Trials
    • Description
  • Fall 2017

Scholarly, Creative & Professional Activities

Selected Publications


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.


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  

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.”
  • 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  

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


AU Expert

Area of Expertise:

Reading in print versus onscreen; mobile phones, email, instant messaging, and text messaging; social networking; relationship between spoken and written language; history of English; general linguistics; higher education

Additional Information:

Naomi S. Baron is a professor of linguistics in the Department of World Languages and Cultures in the College of Arts and Sciences. She is the author of eight books, including Words Onscreen: The Fate of Reading in a Digital World; Always On: Language in an Online and Mobile World; Alphabet to Email: How Written English Evolved and Where It's Heading; Growing Up with Language: How Children Learn to Talk; and Computer Languages: A Guide for the Perplexed. Always On was winner of the 2008 English-Speaking Union's Duke of Edinburgh English Language Award Competition. The late William Safire described Always On as his choice for "most influential and seminal language book of the year.” Nicholas Carr has called Words Onscreen “essential … for educators, parents, and everyone who loves to read.” Baron’s research focuses on the effects of technology on language, social interaction, and learning. She conducted a cross-national study of mobile phone use by university students in Sweden, the US, Italy, Japan, and Korea. Most recently, she completed a cross-national analysis of print versus digital reading practices and preferences of university students in the US, Japan, Germany, Slovakia, and India. A Guggenheim Fellow and Swedish Fulbright Fellow, she was also a Visiting Scholar at the Stanford Center for Advanced Study in the Behavioral Sciences, Among her media appearances, Baron has been on ABC's Good Morning America and 20/20, CNN, PBS's News Hour, National Public Radio, BBC Radio, CBC Radio, and Voice of America. She has also been interviewed by such newspapers as the New York Times, Washington Post, Wall Street Journal, Economist, Christian Science Monitor, Los Angeles Times, and Boston Globe.

Media Relations
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