Michael Baron  Professor  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

Applications of Statistics in Clinical Trials, Epidemiology, Big Data in Semiconductor Manufacturing, Insurance, Energy Finance

Meet my twelve doctoral students.

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Teaching in the Spring 2025

STAT 627/427   Statistical Machine Learning:
    Mondays 5:30 - 8:00 pm in TBD room TBD
 

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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 introducing the 3^rd edition, and here is the supplemental page with all data sets from the book.

1st Edition (2006) 2nd Edition (2013) 3rd Edition (2019) Chinese Edition (2023) 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

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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, in 2014 he won the Texas Regents Outstanding Teaching Award, and in 2024, he became an Elected Member of the International Statistical Institute. 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.

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Michael Baron