Subgeometric ergodicity under random-time state-dependent drift conditions

DOI10.1155/2014/519276zbMath1426.60103OpenAlexW2069944736WikidataQ59061377 ScholiaQ59061377MaRDI QIDQ1667374

Mokaedi V. Lekgari

Publication date: 28 August 2018

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/519276

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Continuous-time Markov processes on discrete state spaces (60J27)

Cites Work

• Markov chains and stochastic stability
• The rate of convergence in Orey's theorem for Harris recurrent Markov chains with applications to renewal theory
• Subgeometric ergodicity for continuous-time Markov chains
• General state space Markov chains and MCMC algorithms
• State-dependent Foster-Lyapunov criteria for subgeometric convergence of Markov chains
• Ergodic degrees for continuous-time Markov chains
• Practical drift conditions for subgeometric rates of convergence.
• Subgeometric rates of convergence for a class of continuous-time Markov process
• Subgeometric Rates of Convergence of f-Ergodic Markov Chains
• Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels