Locally contracting iterated functions and stability of Markov chains
By S. Jarner, Richard L. Tweedie. Journal of Applied Probability, 2001
58 citations recorded by the source corpus.
Subfields: Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1135c371dee5704162fe8aeac1548f517b8c7f52
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mathematical Physics
- Paul Doukhan
- Jérôme Dedecker
- Orjan Stenflo
- Michael H. Neumann
- Wei Biao Wu
- F. Merlevède
- Clémentine Prieur
- Magda Peligrad
In Statistics and Probability
- Paul Doukhan
- Jérôme Dedecker
- Orjan Stenflo
- Michael H. Neumann
- E. Rio
- F. Merlevède
- Clémentine Prieur
- Wei Biao Wu
Citations in the corpus
- A survey of average contractive iterated function systems (2012, background): “Sufficient conditions for a Markov chain to be bounded in probability on average can be found in Meyn and Tweedie [36].”
- Synchronization (2018, unknown): “For a real parameter P 0 > 0 , define Then (1.1) holds and we have”
- A new covariance inequality and applications (2003, background): “Jarner and Tweedie (2001) and simultaneously Fort, Moulines, Roberts and Rosenthal (2002) obtain explicit geometric decay rates of the mixing coefficients for more general iterative random maps.”