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Journal of Computational and Graphical Statistics Volume 23, 2014 - Issue 3
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Original Articles

The Open-Faced Sandwich Adjustment for MCMC Using Estimating Functions

Benjamin A. Shaby
Pages 853-876 | Received 01 Sep 2012, Published online: 23 Jun 2014

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Read on this site (3)

Matthias Katzfuss, Jonathan R. Stroud & Christopher K. Wikle. (2020) Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models. Journal of the American Statistical Association 115:530, pages 866-885.
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Sabrina Vettori, Raphaël Huser, Johan Segers & Marc G. Genton. (2020) Bayesian Model Averaging Over Tree-based Dependence Structures for Multivariate Extremes. Journal of Computational and Graphical Statistics 29:1, pages 174-190.
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Raymond K. S. Chan & Mike K. P. So. (2017) On the performance of the Bayesian composite likelihood estimation of max-stable processes. Journal of Statistical Computation and Simulation 87:15, pages 2869-2881.
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Articles from other publishers (10)

Qiuyun Zhu & Yves Atchadé. (2023) Minimax quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function. Journal of the American Statistical Association, pages 1-20.
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Zifei Han, Qiang Zhang, Min Wang, Keying Ye & Ming‐Hui Chen. (2023) On efficient posterior inference in normalized power prior Bayesian analysis. Biometrical Journal 65:5.
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Oscar E. Jurado, Marco Oesting & Henning W. Rust. (2022) Implications of modeling seasonal differences in the extremal dependence of rainfall maxima. Stochastic Environmental Research and Risk Assessment 37:5, pages 1963-1981.
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Dan Li, Adam Clements & Christopher Drovandi. (2023) A Bayesian approach for more reliable tail risk forecasts. Journal of Financial Stability 64, pages 101098.
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Matthias Katzfuss & Joseph Guinness. (2021) A General Framework for Vecchia Approximations of Gaussian Processes. Statistical Science 36:1.
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Romain Chailan, Gwladys Toulemonde & Jean-Noel Bacro. (2017) A semiparametric method to simulate bivariate space–time extremes. The Annals of Applied Statistics 11:3.
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Emeric Thibaud, Juha Aalto, Daniel S. Cooley, Anthony C. Davison & Juha Heikkinen. (2016) Bayesian inference for the Brown–Resnick process, with an application to extreme low temperatures. The Annals of Applied Statistics 10:4.
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Zhuqing Liu, Veronica J. Berrocal, Andreas J. Bartsch & Timothy D. Johnson. (2016) Pre-surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive Model. Bayesian Analysis 11:2.
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Anne-Marie Lyne, Mark Girolami, Yves Atchadé, Heiko Strathmann & Daniel Simpson. (2015) On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods. Statistical Science 30:4.
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Matthias Katzfuss & Anirban Bhattacharya. (2015) Comment on Article by Dawid and Musio. Bayesian Analysis 10:2.
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