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Journal of Statistical Computation and Simulation Volume 87, 2017 - Issue 7
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Original Articles

Convergence of Griddy Gibbs sampling and other perturbed Markov chains

Vu DinhFred Hutchinson Cancer Research Center, Seattle, WA, USACorrespondence[email protected]
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,
Ann E. RundellWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USAView further author information
&
Gregery T. BuzzardDepartment of Mathematics, Purdue University, West Lafayette, IN, USAView further author information
Pages 1379-1400 | Received 16 Oct 2015, Accepted 21 Nov 2016, Published online: 08 Dec 2016

Citations (4)

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Read on this site (1)

Rewat Khanthaporn & Nuttanan Wichitaksorn. (2023) Modelling and forecasting COVID-19 stock returns using asymmetric GARCH-ICAPM with mixture and heavy-tailed distributions. Applied Economics 55:51, pages 6042-6061.
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Articles from other publishers (3)

Lam Si Tung Ho, Binh T. Nguyen, Vu Dinh & Duy Nguyen. (2020) Posterior concentration and fast convergence rates for generalized Bayesian learning. Information Sciences 538, pages 372-383.
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Reginald L. McGee & Gregery T. Buzzard. (2018) Maximally informative next experiments for nonlinear models. Mathematical Biosciences 302, pages 1-8.
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Rewat Khanthaporn & Nuttanan Wichitaksorn. (2021) Modeling Stock Returns Using Asymmetric Garch-Icapm with Mixture and Heavy-Tailed Distributions: An Application to COVID-19 Pandemic Forecasts. SSRN Electronic Journal.
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