Multidimensional renewal theory in the non-centered case: application to strongly ergodic Markov chains
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Publication:1935439
DOI10.1007/s11118-012-9282-0zbMath1273.60083arXiv1110.3603OpenAlexW1986599579MaRDI QIDQ1935439
Publication date: 15 February 2013
Published in: Potential Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1110.3603
Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Renewal theory (60K05)
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Cites Work
- A uniform Berry-Esseen theorem on \(M\)-estimators for geometrically ergodic Markov chains
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- Markov chains and stochastic stability
- Renewal theorems in symbolic dynamics, with applications to geodesic flows, noneuclidean tessellations and their fractal limits
- Théorie du renouvellement pour des chaînes semi-markoviennes transientes. (Renewal theory for transient semi-Markov chains)
- Renewal theorem for strongly ergodic Markov chains : application to Lipschitz iterative models
- Asymptotic estimates of the Green functions and transition probabilities for Markov additive processes
- Asymptotic expansions in multidimensional Markov renewal theory and first passage times for Markov random walks
- The Nagaev-Guivarc’h method via the Keller-Liverani theorem
- Propriétés de mélange du flot des chambres de Weyl des groupes de Ping-Pong
- A Central Limit Theorem for Contractive Stochastic Dynamical Systems
- The Martin Boundary for Random Walk
- An Analogue of the Renewal Theorem in Higher Dimensions
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