John Staudenmayer Assistant Professor Department of Mathmatics and Statistics Lederle Graduate Research Tower 1440 University of Massachusetts Amherst, MA 01003-9305 USA jstauden _at_ math.umass.edu 413 545 0999 (phone) 413 545 1801 (fax)

Courses

Bayesian Data Analysis (Stat 697B)

Office Hours: Mon 11-12, Wed 11-12 or by appointment

Statistical Interests:

Measurement Error, Smoothing, Mixed Models, Toxicology, Environmental Health Applications

Some R scripts for Semiparametric Regression

R scripts to implement semiparametric regression models similar to the ones used in the book Semiparametric Regression by Ruppert, Wand, and Carroll.

Recent Papers:

J. Staudenmayer, D. Ruppert, J. Buonaccorsi. Density estimation in the presence of heteroskedastic measurement error. To appear in JASA.

J. Staudenmayer, E. Lake, M.P. Wand. Robustness for general design mixed models using the t-distribution. Resubmitted to Statistical Modeling.
R code for general design mixed models using the t-distribution.

CV

Education:

Postdoctoral Fellow, Harvard School of Public Health, Department of Biostatistics, 2000-2001

Ph. D. Cornell University, Department of Operations Research and Industrial Engineering, 2000

B.A. Williams College, Department of Mathematics and Statistics, 1992