A CLASS OF SMALL DEVIATION THEOREMS FOR FUNCTIONALS OF RANDOM FIELDS ON A TREE WITH UNIFORMLY BOUNDED DEGREE IN RANDOM ENVIRONMENT. Issue 1 (January 2022)
- Record Type:
- Journal Article
- Title:
- A CLASS OF SMALL DEVIATION THEOREMS FOR FUNCTIONALS OF RANDOM FIELDS ON A TREE WITH UNIFORMLY BOUNDED DEGREE IN RANDOM ENVIRONMENT. Issue 1 (January 2022)
- Main Title:
- A CLASS OF SMALL DEVIATION THEOREMS FOR FUNCTIONALS OF RANDOM FIELDS ON A TREE WITH UNIFORMLY BOUNDED DEGREE IN RANDOM ENVIRONMENT
- Authors:
- Shi, Zhiyan
Ding, Chengjun - Abstract:
- Abstract : In this paper, we mainly study a class of small deviation theorems for Markov chains indexed by an infinite tree with uniformly bounded degree in Markovian environment. Firstly, we give the definition of Markov chains indexed by a tree with uniformly bounded degree in random environment. Then, we introduce the some lemmas which are the basis of the results. Finally, a class of small deviation theorems for functionals of random fields on a tree with uniformly bounded degree in Markovian environment is established.
- Is Part Of:
- Probability in the engineering and informational sciences. Volume 36:Issue 1(2022)
- Journal:
- Probability in the engineering and informational sciences
- Issue:
- Volume 36:Issue 1(2022)
- Issue Display:
- Volume 36, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 36
- Issue:
- 1
- Issue Sort Value:
- 2022-0036-0001-0000
- Page Start:
- 169
- Page End:
- 183
- Publication Date:
- 2022-01
- Subjects:
- random environment -- small deviation theorems -- strong limit theorems -- tree -- uniformly bounded degree
Probabilities -- Periodicals
Engineering -- Statistical methods -- Periodicals
Information science -- Statistical methods -- Periodicals
519.202462 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=PES ↗
- DOI:
- 10.1017/S026996482000042X ↗
- Languages:
- English
- ISSNs:
- 0269-9648
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 20827.xml