The strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in random environment. Issue 15 (8th July 2021)
- Record Type:
- Journal Article
- Title:
- The strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in random environment. Issue 15 (8th July 2021)
- Main Title:
- The strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in random environment
- Authors:
- Ding, Chengjun
Shi, Zhiyan
Yang, Weiguo - Abstract:
- Abstract: In this paper, we are going to study the strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in random environment. Firstly, we give the definition of Markov chains indexed by an infinite tree with uniformly bounded degree in random environment. Then, we establish some strong limit theorems that are the basis of the main result. Finally, we prove the strong law of large numbers and Shannon-McMillan theorem for Markov chains indexed by an infinite tree with uniformly bounded degree in Markovian environment.
- Is Part Of:
- Communications in statistics. Volume 50:Issue 15(2021)
- Journal:
- Communications in statistics
- Issue:
- Volume 50:Issue 15(2021)
- Issue Display:
- Volume 50, Issue 15 (2021)
- Year:
- 2021
- Volume:
- 50
- Issue:
- 15
- Issue Sort Value:
- 2021-0050-0015-0000
- Page Start:
- 3573
- Page End:
- 3585
- Publication Date:
- 2021-07-08
- Subjects:
- Tree -- uniformly bounded degree -- random environment -- strong law of large numbers -- Shannon-McMillan theorem
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2019.1708398 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17525.xml