Bayes least squares linear estimation of densities |
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| Authors: | John Shin H D Brunk |
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| Institution: | 1. Tektronix. Inc , Beaverton, Oregon, 97077;2. Oregon State University , Corvallis, 97331, Oregon |
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| Abstract: | Linear, least squares statistical methods in which the "parameters" are interpreted as random variables were introduced by Whittle, and further developed by Hartigan and others. They are applied here to the problem of estimating the coefficients in an orthogonal expansion of a multivariate density, given a simple random sample. |
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| Keywords: | Bayesian least squares linear Bayes methods density estimation orthogonal expansion |
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