6 citations · 11 across the 2 of their papers we have counts for
9 papers
Photometric Covariance in Multi-Band Surveys: Understanding the Photometric Error in the SDSS
Ryan Scranton, Andrew J. Connolly, Alexander S. Szalay +5
In this paper we describe a detailed analysis of the photometric uncertainties present within the Sloan Digital Sky Survey (SDSS) imaging survey based on repeat observations of app…
Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy
Alexander G. Gray, Andrew W. Moore, Robert C. Nichol +3
Many fundamental statistical methods have become critical tools for scientific data analysis yet do not scale tractably to modern large datasets. This paper will describe very rece…
Non-Parametric Inference in Astrophysics
Larry Wasserman, Christopher J. Miller, Robert C. Nichol +6
We discuss non-parametric density estimation and regression for astrophysics problems. In particular, we show how to compute non-parametric confidence intervals for the location an…
Early-type galaxies in the SDSS
M. Bernardi, R. K. Sheth, J. Annis +28
A sample of nearly 9000 early-type galaxies, in the redshift range 0.01<z<0.3, was selected from the Sloan Digital Sky Survey using morphological and spectral criteria. The sample…
Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources
R. C. Nichol, S. Chong, A. J. Connolly +10
I present here a review of past and present multi-disciplinary research of the Pittsburgh Computational AstroStatistics (PiCA) group. This group is dedicated to developing fast and…
Star Formation in Galaxies between 0.7 < z < 1.8
A. M. Hopkins, A. J. Connolly, A. S. Szalay
We present an analysis of the star formation rate in galaxies between 0.7<z<1.8 using Near Infrared Camera and Multi-Object Spectrograph (NICMOS) grism spectral observations. We de…