Research
Teaching
Probability and Statistics textbook Short Bio Contact Info

 Michael Baron
 Professor of Statistics

 Department of Mathematical Sciences
 The University of Texas at Dallas

 Office:
FO2.602-E
 Email:  mbaron at utdallas.edu
 Phone:  (972) UTD-6874
 Fax:      (972) UTD-6622

Mail
Address:      
 Department of Mathematical Sciences       
 The University of Texas at Dallas
 800 W. Campbell Road
 Richardson, TX 75080-3021




Research

Here are my selected publications in the areas of
  • Sequential Analysis and Sequential Design
  • Bayesian Inference,
  • Change-Point Detection,
  • Applications of Statistics in Clinical Trials, Epidemiology, Semiconductor Manufacturing, Energy Finance, and Cyber Security
  • Meet my twelve doctoral students.


    Teaching in 2014-2015

    None. I am on leave this academic year.


    Textbook "Probability and Statistics for Computer Scientists"

    I wrote this textbook for junior undergraduate through beginning graduate level students, and it can be used as the first course in Probability and Statistics. One semester of Calculus that includes limits, derivatives, and integrals, is assumed, although the main Calculus concepts are reviewed in Appendix. Each chapter has numerous examples and exercises. Instructors get a complete Solutions Manual. Matlab codes are supplied for impressive classroom demonstrations. The second edition came out in 2014.
    • 1st Edition
    • 2nd Edition
    • Table of contents
           Introduction
           Probability
           Discrete random variables
           Continuous random variables
           Computer simulations and Monte Carlo methods
           Stochastic processes
           Queuing systems
           Introduction to Statistics
           Statistical inference I
           Statistical inference II
           Regression
           Appendix
        

    Short Bio

    Dr. Michael Baron is Professor of Statistics at the University of Texas at Dallas. Supported by grants from the National Science Foundation, the National Security Agency, the Actuarial Foundation, and the Semiconductor Technical Council, he conducts research in the areas of sequential analysis, change-point detection, and Bayesian inference, applying obtained results in epidemiology, clinical trials, cyber security, energy finance, and semiconductor manufacturing. The last application brought M. Baron to IBM T. J. Watson Research Center, where he was a one-year Academic Visitor in 2003-04.

    M. Baron has published two books, a number of research articles and book chapters, and gave an even greater number of invited presentations and seminars. In 2007 M. Baron received Abraham Wald prize for the best paper in sequential analysis, and in 2013 he was elected a Fellow of the American Statistical Association. Currently, he serves as Associate Editor of the Journal of Sequential Analysis. He is a member of the American Statistical Association and the International Society for Bayesian Analysis.

    M. Baron has a University Diploma in Mathematics from St. Petersburg State University, Russia (1992), and a Ph.D. degree in Statistics from the University of Maryland (1995). His University Diploma paper entitled "On the First Passage Time for Queueing Processes" was supervised by Prof. Ildar Ibragimov, and his doctoral dissertation "Confidence Estimation in the Change-Point Problem" was supervised by Prof. Andrew Rukhin. In his turn, M. Baron graduated nine doctoral students and is currently working on two more. During his free time, he travels and plays piano, go, bridge, and ice hockey.

    Michael Baron