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Proceedings of the American Mathematical Society
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A Correction Note on "Generalized Hewitt-Savage Theorems for Strictly Stationary Processes"

A correction note on ''Generalized Hewitt-Savage theorems for strictly stationary processes''
Authors: Jose Luis Palacios;

A Correction Note on "Generalized Hewitt-Savage Theorems for Strictly Stationary Processes"

Abstract

Conditions on the distribution of a process { Xn, n E I} are given under which the invariant, tail and exchangeable a-fields coincide; the index set I is either the positive integers or all the integers. The results proven here correct similar statements given in [3]. 1. Let {Xn, n E I) be a sequence of real-valued r.v.'s on the probability space (Vi , 'R10 P), let 4, C, and & be the invariant, tail, and exchangeable a-fields (see [3] for definitions and terminology), and consider the case where I is the set of positive integers J. It is well known (see [2, p. 39; or 4]) that without reference to the probability P, the following strict inclusions always hold: (1) c c S. Hence, for any probability P: (2) 4 C JC i(P). Looking at (1) and (2) one can see that Theorem 1 in [3] is erroneous. The inaccuracies in [3] stem from not considering separately the case where I is J, the positive integers, and the case where I is Z, the integers. 2. Z setup. In this case one can define 4 and S as before mutatis mutandis (now T is onto as well as 1-1, and the permutations move around a finite number of possibly negative and positive coordinates); there are, however, several a-fields that could merit being called "tail a-field". (For a discussion of these a-fields, and many more things related to this note and to [1], see [4].) We will be satisfied here considering T to be , a(Xi i n), where a(Xi, i E I) denotes the a-field generated by the variables Xi, i E I. In this setup it is known that

Keywords

tail, Stochastic processes, invariant, Exchangeability for stochastic processes, exchangeable, Markov chains (discrete-time Markov processes on discrete state spaces)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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