Profile

"A kind heart and a gentle soul, statistically speaking."

Jun Lu

Associate Professor
Department of Mathematics and Statistics

  • Additional Positions at AU

    Bayesian methods
  • Jun Lu got his Bachelor's degree in statistics from East China Normal University in Shanghai, China, his hometown. he then went to University of Missouri-Columbia, from where he received his Ph.D. in 2004. Since then, he has been a faculty member at American University. Jun has taught varies statistics courses since he was in graduate school. These courses cover a wide variety of topics at different levels; ranging from the basic statistics courses, to the applied statistical methods courses (Linear regression, Design of experiments, Time series, Data analysis) and the advanced theoretical courses (Generalized linear model, Stochastic processes). All courses involve the use of statistical software such as StatCrunch, SPSS, SAS, Splus and R.

  • Degrees

    PhD, Missouri

  • OFFICE

  • CAS - Math & Statistics
  • Gray - 201
  • M.4:00-5:00, W.1:30-2:30, 3:45-5:00, Th.1:30-2:30, F.3:30-5:00, and by appointment

  • CONTACT INFO

  • (202) 885-3042 (Office)
  • (202) 885-3155 (Fax)
  • Send email Profile UserID

  • FOR THE MEDIA

  • To request an interview for a
    news story, call AU Communications
    at 202-885-5950 or submit a request.

Teaching

  • Spring 2013

    • STAT-202 Basic Statistics: Basic Statistics-SOC/POL
    • Description
    • STAT-798 Statistical Resch & Consulting: Statistical Consulting
    • Description

Scholarly, Creative & Professional Activities

Research Interests

 

Jun's research interests include Bayesian methods and applications, interdisciplinary statistical application, consulting and statistical education. He enjoy collaborating with fellow statisticians and researchers in applied fields. One of his long term projects is to develop Bayesian hierarchical models for cognitive psychology studies, such as the multiple components of human memory. His recent application projects include topics on tree mortality, human rights violation, information-seeking behavior, and teaching SAS.