Michael Baron

Professor - Mathematical Sciences
ECSN 3.912
UTD Webpage

Professional Preparation

Ph.D. - Statistics
University of Maryland - 1995
M.S. - Mathematics
University of St.~Petersburg - 1992

Research Areas

Research areas
  • Sequential Analysis
  • Change-Point Detection
  • Bayesian Inference
  • Applications of Statistics in Clinical Trials, Epidemiology, Semiconductor Manufacturing, and Energy Finance


M. Baron and A. Tartakovsky. Asymptotic optimality of change-point detection schemes in general continuous-time models. Sequential Analysis, accepted, to appear in 2006. 2006 - Publication
R. Gill, J. Keating, and M. Baron. Detecting abrupt leaks in blended underground storage tanks. Accepted, to appear in Communication in Statistics - Theory and Methods, #35, 2006. 2006 - Publication
R. Gill and M. Baron. Consistent estimation in generalized broken-line regression. Journal of Statistical Planning and Inference, 126(2), 441--460, 2004. 2004 - Publication
C. Schmegner and M. Baron. Principles of optimal sequential planning. Sequential Analysis, 23( 1), 11--32, 2004. 2004 - Publication
M. Baron. Sequential methods for multistate processes. In N. Mukhopadhyay, S. Datta, S. Chattopadhyay, eds., Applications of Sequential Methodologies, 55--73, Marcel Dekker, Inc., New York, 2004. 2004 - Publication
M. Baron. Detection of epidemics as a sequential change-point problem. In V. Antonov, C. Huber. M. Nikulin, V. Polischook, eds.; Longevity, Aging and Degradation Models in Reliability, Public Health, Medicine and Biology, volume 2, pages 31--43, St. Petersburg, 2004. 2004 - Publication
M. Baron and N. Granott. Consistent estimation of early and frequent change points. In J. Haitovsky, H. R. Lerche, and Y. Ritov, eds., Foundations of Statistical Inference, pages 181--194, Physica-Verlag, Heidelberg, New York, 2003. 2003 - Publication
M. Rosenberg, J. D. Bryngelson, M. Baron. Probability and stochastic calculus: review of probability concepts. In E. I. Ronn, ed., Real Options and Energy Management, pages 659--697, Risk Books, London, 2002. 2002 - Publication
M. Baron. Bayes and asymptotically pointwise optimal stopping rules for the detection of influenza epidemics. In C. Gatsonis, R. E. Kass, A. Carriquiry, A. Gelman, D. Higdon, D. K. Pauler and I. Verdinelli, Eds., Case Studies in Bayesian Statistics, vol. 6, pages 153-- 163, Springer-Verlag, New York, 2002. 2002 - Publication
M. Baron, M. Rosenberg, N. Sidorenko. Divide and conquer: forecasting power via automatic price regime separation. Energy, Power, and Risk Management, 70-73, March 2002. 2002 - Publication


Academic Visitor
IBM T. J. Watson Research Center [2003–2004]
Associate Professor
University of Texas at Dallas [2001–Present]
University of Maryland, Baltimore County, Baltimore, Maryland [1995–1995]
Assistant Professor
University of Texas at Dallas [1995–2001]


Optimal Sequential Detection of Change-Points and Bayesian Analysis of Markov Chains
2003–2003 Optimal Sequential Detection of Change-Points and Bayesian Analysis of Markov Chains. Department of Statistics Colloquia Series, U. of Connecticut, Storrs, CT
Statistical problems of an asymmetric nature
2018–2018 Statistical problems of an asymmetric nature. Meeting of AMS, Louisville, KY
Markov random fields in semiconductor manufacturing
2018–2018 Markov random fields in semiconductor manufacturing. Technometrics invited paper. Spring Research Conference on Statistics in Industry and Technology, Roanoke, VA
Sequential change-point analysis for the early detection of epidemics
2018–2018 Sequential change-point analysis for the early detection of epidemics. Invited tutorial lecture. DIMACS Tutorial on Statistical and Other Analytic Health Surveillance Methods, Special Focus on Computational and Mathematical Epidemiology, DIMACS Center, Rutgers University, Piscataway, NJ
Bayesian and minimax estimation under non-standard loss functions
2018–2018 Bayesian and minimax estimation under non-standard loss functions. The 4th New Researchers Conference in Statistics. Baltimore, MD

Additional Information

  • Conference "The First UT-Dallas Symposium in Statistics and Biostatistics", UT-Dallas, April 30, 2005
  • Invited paper session "Sequential Methods" at 2003 Quality Productivity Research Conference, Yorktown Heights, NY
  • Special contributed paper session "Statistical Methods in Semiconductor Manufacturing" at the Joint Statistical Meetings, Dallas, TX

  • Member of Academic Senate, 1997-1998, 2001 -2002
  • Member of the IR committee, 1999-2001
  • Chair of the IR committee, 2000-2001
  • Associate Editor of Sequential Analysis
  • Referee of the Journal of American Statistical Association, Statistics and Decisions, Journal of
  • Statistical Plam1ing and Inference, Technometrics, Metrika, Statistics and Probability Letters
  • Member of the Institute of Mathematical Statistics
  • Member of the International Society for Bayesian Analysis

News Articles

Statistics Professor Follows Family Footsteps to Award-Winning Path
Dr. Michael Baron knew early in his life that he wanted to be a teacher.

“My parents were my first teaching coaches,” said Baron, a professor of mathematical sciences at UT Dallas whose parents were both high school math teachers, and whose grandfather was a mathematics lecturer and scholar of Hebrew studies.

“I saw how thoroughly they prepared for each class, how mindfully they wrote handouts, and how carefully they graded homework and exams. They showed me rather early what it takes to become a professional teacher,” he said. 


Identifying change points and pattems in development, leaming and problem solving processes
$68,386 - NSF, Division of Social and Economic Sciences [1999–2001]
Pattem recognition and signature analysis in semiconductor risk assessment
$20,137 - Texas Instruments, Inc. [1997–1998]