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

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楼主: Monroe
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Statistics of Galaxy Clustering,am spatial statistics. The lecture will review the methods of spatial statistics used by both sets of scholars, having in mind the cross-fertilizing purpose of the meeting series. Special topics will be: description of the galaxy samples, selection effects and biases, correlation functions, nearest
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The Cosmic Foam: Stochastic Geometry and Spatial Clustering across the Universe, to more than a hundred Megaparsec. The significance of this frothy morphology of cosmic structure has been underlined by the results of computer simulations. These suggest the observed cellular patterns to be a prominent and natural aspect of cosmic structure formation for a large variety of scenar
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Inference in Microwave Cosmology: A Frequentist Perspective,tistically challenging. Bayesian methods and blends of Bayesian and frequentist ideas are common in cosmology. Constructing purely frequentist confidence intervals raises questions about the probability that the intervals falsely contain incorrect values. A computable bound on this . can help find o
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Random Forests: Finding Quasars,ribe an effective method, Random Forests, in which votes for class membership are polled from a large random ensemble of tree classifiers. This procedure is illustrated by the problem of identifying quasars from the FIRST survey.
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Interactive and Dynamic Graphics for Data Analysis: A Case Study On Quasar Data,measurements on red and blue plates, radio and optical values. Multivariate plotting techniques used are the scatterplot matrix, parallel coordinate plot and tours, an extension of 3D rotation to arbitrary dimensional rotation.
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