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 17吃瓜在线 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鈥檚 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.
听
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 听
Honors, Awards, and Fellowships
- Fellow of the American Statistical Association (2013)鈥淔or 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.鈥
- Regents鈥 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 听
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
听