Titlebook: Statistical Challenges in Astronomy; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2003 Springer Science+Business Media New York

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Clustering in High-Dimensional Data Spaces, principal components analysis. An imposed order on an array is beneficial not only for visualization but also for use of a vast range of image processing methods. For example, clustering becomes in this context image feature detection.

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Power from Understanding the Shape of Measurement: Progress in Bayesian Inference for Astrophysics,astronomical data; i.e. the detection of periodicities in a Poisson point process. We develop a model called Sparse Bayes Blocks for this purpose. These methods are also effective for estimation of the pulsar period.

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