L. Gunter

发表

Computing the Solution Path for the Regularized Support Vector Regression

Ji Zhu, Lacey Gunter, Ji Zhu, 2005, NIPS.

Variable Selection for Qualitative Interactions.

S. Murphy, L. Gunter, Ji Zhu, 2011, Statistical methodology.

Missing Data and Uncertainty in Batch Reinforcement Learning

Eric B. Laber, D. Lizotte, S. Murphy, 2008 .

A Simple Method for Variable Selection in Regression with Respect to Treatment Selection

L. Gunter, M. Chernick, Jia-Wei Sun, 2011 .

Efficient Computation and Model Selection for the Support Vector Regression

Ji Zhu, Lacey Gunter, Ji Zhu, 2007, Neural Computation.

Methods to determine the minimum important difference for a sexual event diary used by postmenopausal women with hypoactive sexual desire disorder.

L. Gunter, D. Patrick, C. Spino, 2007, The journal of sexual medicine.

ORIGINAL RESEARCH—OUTCOMES ASSESSMENT Methods to Determine the Minimum Important Difference for a Sexual Event Diary Used by Postmenopausal Women with Hypoactive Sexual Desire Disorder

L. Gunter, D. Patrick, C. Spino, 2007 .

E-cient A-Learning for Dynamic Treatment Regimes: A Handout

Susan A. Murphy, Lacey Gunter, Daniel Almirall, 2005 .

Variable Selection for Qualitative Interactions in Personalized Medicine While Controlling the Family-Wise Error Rate

Lacey Gunter, Susan Murphy, Ji Zhu, 2011, Journal of biopharmaceutical statistics.

Variable Selection for Optimal Decision Making

Ji Zhu, Lacey Gunter, Susan Murphy, 2007, AIME.