262 citations · 1.8k across the 75 of their papers we have counts for
7 papers · 1 filter
Mapping the Cosmological Confidence Ball Surface
Brent Bryan, Jeff Schneider, Christopher J. Miller +3
We present a new technique to compute simultaneously valid confidence intervals for a set of model parameters. We apply our method to the Wilkinson Microwave Anisotropy Probe's (WM…
Statistical Computations with AstroGrid and the Grid
Robert C Nichol, Garry Smith, Christopher J Miller +6
We outline our first steps towards marrying two new and emerging technologies; the Virtual Observatory (e.g, AstroGrid) and the computational grid. We discuss the construction of V…
Massive Science with VO and Grids
Robert Nichol, Garry Smith, Christopher Miller +7
There is a growing need for massive computational resources for the analysis of new astronomical datasets. To tackle this problem, we present here our first steps towards marrying…
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…
Controlling the False Discovery Rate in Astrophysical Data Analysis
Christopher J. Miller, Christopher Genovese, Robert C. Nichol +6
The False Discovery Rate (FDR) is a new statistical procedure to control the number of mistakes made when performing multiple hypothesis tests, i.e. when comparing many data agains…
Fast Algorithms and Efficient Statistics: N-point Correlation Functions
Andrew Moore, Andy Connolly, Chris Genovese +8
We present here a new algorithm for the fast computation of N-point correlation functions in large astronomical data sets. The algorithm is based on kdtrees which are decorated wit…