Description

• Title:
  The law of the iterated logarithm for random dynamical system with jumps and state-dependent jump intensity
• Creator:
  Kubieniec, Joanna
• Description:
  In this paper our considerations are focused on some Markov chain associated with certain piecewise-deterministic Markov process with a statedependent jump intensity for which the exponential ergodicity was obtained in [4]. Using the results from [3] we show that the law of iterated logarithm holds for such a model.
• Object availability:
  free access
• Date:
  2021.08.30
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Recenzowany artykuł
• Language:
  English
• Source:
  Annales Mathematicae Silesianae; Vol. 35 No. 2 (2021); 236-249;
  Annales Mathematicae Silesianae; Tom 35 Nr 2 (2021); 236-249;
  2391-4238;
  0860-2107
• Format:
  application/pdf
• Publisher:
  University of Silesia Press
• Relation: https://journals.us.edu.pl/index.php/AMSIL/article/view/13449/10412
• Subject:
  Markov operator;
  Markov chain;
  law of the iterated logarithm
• Identifier: https://journals.us.edu.pl/index.php/AMSIL/article/view/13449
• Data provider:
  Czasopisma Wydawnictwa Uniwersytetu Śląskiego
• Can I use it?:
  seek permission
• Type:
  other