Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computational AstroStatistics: Fast and Efficient Tools for Analysing
  Huge Astronomical Data Sources   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 efficient statistical algorithms for analysing
huge astronomical data sources. I begin with a short review of
multi-resolutional kd-trees which are the building blocks for many of our
algorithms. For example, quick range queries and fast n-point correlation
functions. I will present new results from the use of Mixture Models (Connolly
et al. 2000) in density estimation of multi-color data from the Sloan Digital
Sky Survey (SDSS). Specifically, the selection of quasars and the automated
identification of X-ray sources. I will also present a brief overview of the
False Discovery Rate (FDR) procedure (Miller et al. 2001a) and show how it has
been used in the detection of ``Baryon Wiggles'' in the local galaxy power
spectrum and source identification in radio data. Finally, I will look forward
to new research on an automated Bayes Network anomaly detector and the possible
use of the Locally Linear Embedding algorithm (LLE; Roweis & Saul 2000) for
spectral classification of SDSS spectra.

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The categories of this paper are: stat
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The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: chem-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: quant-ph
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The categories of this paper are: solv-int
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The categories of this paper are: comp-gas