Adam J. Rothman

Assistant Professor
School of Statistics
University of Minnesota
313 Ford Hall
224 Church Street SE
Minneapolis, MN 55455

Teaching
Statistics 5021, Statistical Analysis, Fall 2011
Statistics 5421, Analysis of Categorical Data, Fall 2011
Statistics 5021, Statistical Analysis, Spring 2012

Academic Background
B.S.E. (Electrical) Cum Laude, University of Michigan, April 2005
Ph.D. (Statistics), University of Michigan, April 2010
Curriculum Vitae

Research supported in part by the National Science Foundation: DMS-1105650 (2011--) and the Yahoo! PhD student fellowship (2008-2010)

Papers
Rothman, A. J. (2012).  Positive definite estimators of large covariance matrices. Biometrika. To appear.

Cook, R. D., Forzani, L., and Rothman, A. J. (2012).  Estimating sufficient reductions of the predictors in abundant high-dimensional regressions. Annals of Statistics. 40(1): 353-384. supplement, errata

Rothman, A. J., Levina, E., and Zhu, J. (2010).  Sparse multivariate regression with covariance estimation. Journal of Computational and Graphical Statistics. 19(4): 947-962. R package

Rothman, A. J., Levina, E., and Zhu, J. (2010).  Discussion of "Stability selection" by N. Meinshausen and P. Buhlmann. Journal of the Royal Statistical Society, Series B. 72(4)

Rothman, A. J., Levina, E., and Zhu, J. (2010).  A new approach to Cholesky-based covariance regularization in high dimensions. Biometrika. 97(3): 539-550.

Rothman, A. J., Levina, E., and Zhu, J. (2009).  Generalized thresholding of large covariance matrices. Journal of the American Statistical Association. 104: 177-186.

Rothman, A. J., Bickel, P. J., Levina, E., and Zhu, J. (2008).  Sparse permutation invariant covariance estimation. Electronic Journal of Statistics. 2: 494-515. (One of four winning papers in the 2008 ASA Student Paper Competition sponsored by the Statistical Computing Section)

Levina, E., Rothman, A. J., and Zhu, J. (2008). Sparse estimation of large covariance matrices via a nested lasso penalty. Annals of Applied Statistics. 2(1):245-263.

Official disclaimer required by the University WWW policy.