The Program in Measurement, Statistics and Evaluation (EDMS) is pleased to announce its popular three-day short course:
INTRODUCTION TO BAYESIAN STATISTICAL MODELING June 7-9, 2017 (Wednesday, Thursday, Friday) Location: College Park, Maryland (an on-line option is available) Instructor: Dr. Roy Levy, Arizona State University ([email protected]) This three-day course is intended as both a theoretical and practical introduction to Bayesian statistical modeling. The course does not require expertise with calculus or prior experience with Bayesianapproaches. An understanding of Bayesian statistical modeling will be developed by relating it to participants’ existing knowledge of traditional frequentist approaches. To introduce Bayesian principles in familiar contexts we will begin with simple binomial and univariate normal models, then move to regression, and then give examples of more complex models including factor analysis, item response models, structural equation models, multilevel modeling, and Bayesian networks. Along the way, we will cover aspects of modeling including model construction, graphical representations of models, Markov chain Monte Carlo (MCMC) estimation, evaluating hypotheses and model-data fit, model comparisons, and modeling in the presence of missing data. For more information on the workshop, including registration, please visit http://www.education.umd.edu/EDMS/ShortCourses/Bayesworkshoppage2017.html Please feel free to contact Dr. Levy ([email protected]) with questions about the workshop. Make your reservations soon! ************************************************************ Gregory R. Hancock, University of Maryland Distinguished Scholar-Teacher Professor and Program Director, Measurement, Statistics and Evaluation Department of Human Development and Quantitative Methodology Director, Center for Integrated Latent Variable Research (CILVR) 1230 Benjamin Building 3942 Campus Drive University of Maryland College Park, MD 20742-1115 tel: 301.405.3621 e-mail: [email protected] www.education.umd.edu/EDMS
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