Asymptotic behaviour of the posterior distribution in approximate Bayesian computation
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Publication:5859964
DOI10.1080/07362994.2020.1859386zbMath1478.62234OpenAlexW3123554432MaRDI QIDQ5859964
Ajay Jasra, Sumeetpal S. Singh, Thomas A. Dean
Publication date: 18 November 2021
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10754/661015
Asymptotic properties of parametric estimators (62F12) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05)
Cites Work
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- Chain ladder method: Bayesian bootstrap versus classical bootstrap
- Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime
- Inference in hidden Markov models.
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Biological Sequence Analysis
- Asymptotic properties of approximate Bayesian computation
- Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation
- On the asymptotic efficiency of approximate Bayesian computation estimators
- The Bernstein-Von Mises Theorem for Markov Processes
- Maximum Likelihood Estimation of Misspecified Models
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