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Abstract: Introduction.
A standard question in Markov process theory is the existence of, and convergence to,
a stationary probability distribution. The question of rate of convergence concerns how
quickly this convergence occurs. Such questions are now standard in the literature (see,
e.g. [Di], [DS], [R]).
Many Markov processes do not have normalized stationary distributions, though they
may still have a non-negative (but perhaps non-normalizable) invariant measure m(x),
x 2 X . (We consider only... (Update)
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BibTeX entry: (Update)
Hoffman, J.R., Rosental, J.S., Convergence of independent particle systems, Stochastic Process. Appl., 56, 295-305, (1995). http://citeseer.ist.psu.edu/hoffman95convergence.html More
@misc{ hoffman95convergence,
author = "J. Hoffman and J. Rosental",
title = "Convergence of independent particle systems",
text = "Hoffman, J.R., Rosental, J.S., Convergence of independent particle systems,
Stochastic Process. Appl., 56, 295-305, (1995).",
year = "1995",
url = "citeseer.ist.psu.edu/hoffman95convergence.html" }
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