Casella, Bruno and Roberts, Gareth O. and Stramer, Osnat (2011): Stability of Partially Implicit Langevin Schemes and Their MCMC Variants. Published in: Methodology and Computing in Applied Probability , Vol. 13, No. 4 (1 December 2011): pp. 835-854.
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Abstract
A broad class of implicit or partially implicit time discretizations for the Langevin diffusion are considered and used as proposals for the Metropolis–Hastings algorithm. Ergodic properties of our proposed schemes are studied. We show that introducing implicitness in the discretization leads to a process that often inherits the convergence rate of the continuous time process. These contrast with the behavior of the naive or Euler–Maruyama discretization, which can behave badly even in simple cases. We also show that our proposed chains, when used as proposals for the Metropolis–Hastings algorithm, preserve geometric ergodicity of their implicit Langevin schemes and thus behave better than the local linearization of the Langevin diffusion. We illustrate the behavior of our proposed schemes with examples. Our results are described in detail in one dimension only, although extensions to higher dimensions are also described and illustrated.
Item Type: | MPRA Paper |
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Original Title: | Stability of Partially Implicit Langevin Schemes and Their MCMC Variants |
English Title: | Stability of Partially Implicit Langevin Schemes and Their MCMC Variants |
Language: | English |
Keywords: | Langevin diffusions Ergodicity Implicit Euler schemes: discrete approximation |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling |
Item ID: | 95220 |
Depositing User: | BRUNO CASELLA |
Date Deposited: | 16 Aug 2019 11:45 |
Last Modified: | 10 Oct 2019 11:39 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95220 |