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Bayesian model selection for partially observed diffusion models

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Publication:2813918
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DOI10.1093/biomet/93.4.809zbMath1436.62407OpenAlexW1980193831MaRDI QIDQ2813918

Petros Dellaportas, Gareth O. Roberts, Nial Friel

Publication date: 27 June 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/dfd3c19f7f9dbe50d6763616bc3eaca962adceea

zbMATH Keywords

Markov chain Monte Carloexchange ratereversible jumpnon-Markov process


Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Non-Markovian processes: estimation (62M09) Diffusion processes (60J60)


Related Items

Online Smoothing for Diffusion Processes Observed with Noise, Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes, Efficient Bayesian estimation of the generalized Langevin equation from data, A Simple Monotone Process with Application to Radiocarbon-Dated Depth Chronologies, Exact and Computationally Efficient Likelihood-Based Estimation for Discretely Observed Diffusion Processes (with Discussion)



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