Research
Teaching
Probability and Statistics textbook Short Bio Contact Info

 Michael Baron
 Professor of Statistics

 Department of Mathematics and Statistics
 American University

 Office:
DMTI 106-D on East Campus
 Email:  baron at american.edu
 Phone:  (202)885-3130
 Fax:      (202)885-3155

Mail
Address:      
 Department of Mathematics and Statistics        
 American University
 1600 Massachusetts Ave. NW
 Washington DC, 20016






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 the Spring 2021

    STAT 627/427   Statistical Machine Learning on Tuesdays 11:35 - 12:20 in Don Meyers room 111 and Fridays 11:35 - 12:20 on Zoom



    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 or as a two-course sequence. 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. R and Matlab projects and codes are supplied for hand-on practice and classroom demonstrations. Here are a video clip about the 2nd edition, recorded in 2013, and another one about the 3rd edition, recorded in 2019.
    • 1st Edition (2006)
    • 2nd Edition (2013)
    • 3rd Edition (2019)
    • 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 American University, where he came in 2014 after 19 years at the University of Texas at Dallas. Occasionally 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, in 2013 he was elected a Fellow of the American Statistical Association, and in 2014 he won the Texas Regents Outstanding Teaching Award. 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 twelve doctoral students, all of them are happily employed, mostly at academic and research positions. During his rare free time, M. Baron travels and plays piano, go, bridge, and ice hockey.




    Michael Baron