614 citations
- University of MinnesotaUS29 papers
- University of Minnesota SystemUS6 papers
- Goddard Space Flight CenterUS3 papers
- University of California, IrvineUS3 papers
- California Institute of TechnologyUS2 papers
- Pennsylvania State UniversityUS2 papers
- Stanford UniversityUS2 papers
- The Ohio State UniversityUS2 papers
- University of California, Los AngelesUS2 papers
- University of DelawareUS2 papers
- University of Hawaiʻi at MānoaUS2 papers
- University of KansasUS2 papers
10 papers · 1 filter
New Limits on the Ultra-high Energy Cosmic Neutrino Flux from the ANITA Experiment
ANITA collaboration, P. Gorham, P. Allison +40
We report initial results of the first flight of the Antarctic Impulsive Transient Antenna (ANITA-1) 2006-2007 Long Duration Balloon flight, which searched for evidence of a diffus…
Nonhomogeneous parking functions and noncrossing partitions
Drew Armstrong, Sen-Peng Eu
For each skew shape we define a nonhomogeneous symmetric function, generalizing a construction of Pak and Postnikov. In two special cases, we show that the coefficients of this fun…
The Soft-Wall Standard Model
Brian Batell, Tony Gherghetta, Daniel Sword
We explore the possibility of modeling electroweak physics in a warped extra dimension with a soft wall. The infrared boundary is replaced with a smoothly varying dilaton field tha…
Comment: Gibbs Sampling, Exponential Families, and Orthogonal Polynomials
Galin L. Jones, Alicia A. Johnson
Comment on ``Gibbs Sampling, Exponential Families, and Orthogonal Polynomials'' [arXiv:0808.3852]
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou, Runze Li
We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work [arXiv:0808.1012]. The discussants raised a number of i…
Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models
Snigdhansu Chatterjee, Partha Lahiri, Huilin Li
Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly usefu…