• Miguel A. Arcones, Binghamton University arcones@math.binghamton.edu
• Anton Schick, Binghamton University anton@math.binghamton.edu
• Qiqing Yu, Binghamton University qyu@math.binghamton.edu

• 8:30 a.m.
  A new construction for skew multivariate distribution.
  Dipak K Dey*, University of Connecticut
  Junfeng Liu, University of Connecticut
• 9:05 a.m.
  Normalization and significant analysis of cDNA micro-arrays using within-array replications.
  Jianqing Fan*, Princeton University
• 9:40 a.m.
  On Likelihood Ratio Analysis Under Non-standard Conditions.
  Yongzhao Shao*, New York University
• 10:15 a.m.
  The large deviation principle for M--estimators.
  Miguel A Arcones*, Binghamton University

Chair of the session: Michael Nussbaum, Cornell University

• 2:30 p.m.
  Another approach to asymtotics and bootstrap of randomly trimmed means.
  Zhiqiang Chen*, William Paterson University
  Evarist Gine, University of Connecticut
• 3:05 p.m.
  Bootstrap and Central Limit Theorem, when they are in tune and when they are not.
  Dragan Radulovic*, Florida Atlantic University
• 3:40 p.m.
  Nearly universal location and scatter parameters.
  Richard M. Dudley*, Massachusetts Institute of Technology
• 4:15 p.m.
  Estimating Default Risk Premia from Default Swap and EDF Data.
  Antje Berndt*, Cornell University
  Rohan Douglas, New York, NY
  Darrell Duffie, Stanford University
  Mark Ferguson, New York, NY
  David Schranz, New York, NY
• 4:50 p.m.
  A Martingale Approach to Scan Statistics.
  Vladimir Pozdnyakov*, University of Connecticut
  Joseph Glaz, University of Connecticut
  Martin Kulldorff, Harvard Medical School
  Michael Steele, University of Pennsylvania
• 5:25 p.m.
  On the Number of Signals.
  Pinyuen Chen*, Syracuse University

Chair of the session: Cun-Hui Zhang, Rutgers University

• 8:30 a.m.
  Poissonization of Statistical Experiments.
  Mark G Low*, Department of Statistics University of Pennsylvania
  Michael Nussbaum, Cornell University
  Sara Van de Geer, University of Leiden
  Harrison H Zhou, Cornell University
• 9:05 a.m.
  Contour regression: a general approach to dimension reduction.
  Bing Li*, Pennsylvania State University
  Hongyuan Zha, Pennsylvania State University
  Francesca Chiaromonte, Pennsylvania State University
• 9:40 a.m.
  Combining Information From Independent Sources Through Confidence Distributions.
  Kesar Singh*, Rutgers University
  Minge Xie, Rutgers University
  William E Strawderman, Rutgers University
• 10:15 a.m.
  Asymptotic equivalence of spectral density estimation and Gaussian white noise.
  Michael Nussbaum*, Cornell University
  Harrison H. Zhou, Cornell University

Chair of the session: Kesar Singh, Rutgers University

• 2:30 p.m.
  Asymptotic Analysis of A Two-Way Semiparametric Regression Model for Microarray Data.
  Jian Huang, University of Iowa
  Cun-Hui Zhang*, Rutgers University
• 3:05 p.m.
  On efficient estimation of parameters in functional partly linear regression models.
  Hanxiang Peng*, University of Mississippi
  Hawking Wang, University of Mississippi
• 3:40 p.m.
  Aysmptotics of the Theil-Sen estimator in simple linear regression model with a random covariate.
  Xueqin Wang*, University of Mississippi
• 4:15 p.m.
  Maximum bias curves for M-estimates of regression with general scale.
  Jose R. Berrendero, Universidad Autonoma de Madrid
  Beatriz V.M. Mendes, Universidade Federal do Rio Janeiro
  David E. Tyler*, Rutgers
  Ruben H. Zamar, University of British Columbia