Geometric ergodicity for classes of homogeneous Markov chains
DOI10.1016/j.spa.2014.05.002zbMath1323.60091OpenAlexW2964135325MaRDI QIDQ404128
Leonid I. Galtchouk, Serguei Pergamenchtchikov
Publication date: 4 September 2014
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spa.2014.05.002
Lyapunov functionrenewal theoryconvergence rategeometric ergodicityergodic diffusion processescoupling renewal processeshomogeneous Markov chainsnonasymptotic exponential upper bound
Discrete-time Markov processes on general state spaces (60J05) Diffusion processes (60J60) Large deviations (60F10) Markov renewal processes, semi-Markov processes (60K15) Renewal theory (60K05)
Related Items (13)
Cites Work
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- Markov chains and stochastic stability
- Efficient pointwise estimation based on discrete data in ergodic nonparametric diffusions
- Geometric ergodicity of Harris recurrent Markov chains with applications to renewal theory
- Computable bounds for geometric convergence rates of Markov chains
- Renewal theory for functionals of a Markov chain with compact state space.
- Uniform concentration inequality for ergodic diffusion processes observed at discrete times
- Renewal theory and computable convergence rates for geometrically erdgodic Markov chains
- The tail of the stationary distribution of a random coefficient \(\text{AR}(q)\) model.
- Quantitative bounds for convergence rates of continuous time Markov processes
- Adaptive sequential estimation for ergodic diffusion processes in quadratic metric
- Estimation of the coefficients of a diffusion from discrete observations
- General Irreducible Markov Chains and Non-Negative Operators
- RANDOM COEFFICIENT AUTOREGRESSIVE PROCESSES:A MARKOV CHAIN ANALYSIS OF STATIONARITY AND FINITENESS OF MOMENTS
- A simple coupling of renewal processes
- Convergence Properties of Perturbed Markov Chains
- Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo
- Nonparametric Sequential Minimax Estimation of the Drift Coefficient in Diffusion Processes
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