A local convergence theorem for partial sums of stochastic adapted sequences

Wei Guo Yang; Zhong Xing Ye; Liu, Wen

Czechoslovak Mathematical Journal (2006)

  • Volume: 56, Issue: 2, page 525-532
  • ISSN: 0011-4642

Abstract

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In this paper we establish a new local convergence theorem for partial sums of arbitrary stochastic adapted sequences. As corollaries, we generalize some recently obtained results and prove a limit theorem for the entropy density of an arbitrary information source, which is an extension of case of nonhomogeneous Markov chains.

How to cite

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Yang, Wei Guo, Ye, Zhong Xing, and Liu, Wen. "A local convergence theorem for partial sums of stochastic adapted sequences." Czechoslovak Mathematical Journal 56.2 (2006): 525-532. <http://eudml.org/doc/31045>.

@article{Yang2006,
abstract = {In this paper we establish a new local convergence theorem for partial sums of arbitrary stochastic adapted sequences. As corollaries, we generalize some recently obtained results and prove a limit theorem for the entropy density of an arbitrary information source, which is an extension of case of nonhomogeneous Markov chains.},
author = {Yang, Wei Guo, Ye, Zhong Xing, Liu, Wen},
journal = {Czechoslovak Mathematical Journal},
keywords = {local convergence theorem; stochastic adapted sequence; martingale; local convergence theorem; stochastic adapted sequence; martingale},
language = {eng},
number = {2},
pages = {525-532},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {A local convergence theorem for partial sums of stochastic adapted sequences},
url = {http://eudml.org/doc/31045},
volume = {56},
year = {2006},
}

TY - JOUR
AU - Yang, Wei Guo
AU - Ye, Zhong Xing
AU - Liu, Wen
TI - A local convergence theorem for partial sums of stochastic adapted sequences
JO - Czechoslovak Mathematical Journal
PY - 2006
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 56
IS - 2
SP - 525
EP - 532
AB - In this paper we establish a new local convergence theorem for partial sums of arbitrary stochastic adapted sequences. As corollaries, we generalize some recently obtained results and prove a limit theorem for the entropy density of an arbitrary information source, which is an extension of case of nonhomogeneous Markov chains.
LA - eng
KW - local convergence theorem; stochastic adapted sequence; martingale; local convergence theorem; stochastic adapted sequence; martingale
UR - http://eudml.org/doc/31045
ER -

References

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  1. 10.1214/aop/1176991794, Annals of Probability 16 (1988), 899–909. (1988) MR0929085DOI10.1214/aop/1176991794
  2. 10.1016/S0167-7152(02)00428-5, Statistics and Probability Letters 62 (2003), 79–86. (2003) MR1965374DOI10.1016/S0167-7152(02)00428-5
  3. 10.1016/S0167-7152(02)00304-8, Statistics and Probability Letters 61 (2003), 41–50. (2003) Zbl1016.60034MR1950452DOI10.1016/S0167-7152(02)00304-8
  4. 10.1016/0167-7152(94)00080-R, Statistics and Probability Letters 22 (1995), 295–301. (1995) MR1333187DOI10.1016/0167-7152(94)00080-R

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