(Enter summary)
Abstract: this paper, we examine this rate of convergence more carefully. We restrict our
attention to the case where
Y take values in a
nite set. Thus, we imagine cointossing
or the rolling of a
nite die. Our set-up is that
X = (X 1 ; : : : ; X n ) are n independent,
unobserved results of a coin-toss or
nite die. While we do not observe
X, we do observe
Y = (Y 1 ; : : : ; Y n ). Here Y i depends only on X i , in a known way. (For example, if the
X i represent whether or not the i'th subject has... (Update)
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BibTeX entry: (Update)
J.S. Rosenthal (1993), Rates of convergence for Data Augmentation on finite sample spaces. http://citeseer.ist.psu.edu/rosenthal93rates.html More
@misc{ rosenthal93rates,
author = "J. Rosenthal",
title = "Rates of convergence for Data Augmentation on finite sample spaces",
text = "J.S. Rosenthal (1993), Rates of convergence for Data Augmentation on finite
sample spaces.",
year = "1993",
url = "citeseer.ist.psu.edu/rosenthal93rates.html" }
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Chaotic Dynamical Systems (context) - Devaney - 1989
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