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Journal of the American Statistical Association Volume 88, 1993 - Issue 424
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Theory and Method

Posterior Cumulant Relationships in Bayesian Inference Involving the Exponential Family

L. R. Pericchi Taller de Estadistica, Departamento de Matemáticas, Universidad Simon Bolivar, Caracas, 1080A, Venezuela
,
B. Sansó Taller de Estadistica, Departamento de Matemáticas, Universidad Simon Bolivar, Caracas, 1080A, Venezuela
&
A. F. M. Smith Department of Mathematics, Imperial College, London, SW7 2BZ, UK
Pages 1419-1426 | Received 01 May 1991, Published online: 27 Feb 2012

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Giuseppe De Luca, Jan R. Magnus & Franco Peracchi. (2021) Posterior moments and quantiles for the normal location model with Laplace prior. Communications in Statistics - Theory and Methods 50:17, pages 4039-4049.
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J.A. A. Andrade, C.C. Y. Dorea & C.E. Guevara Otiniano. (2013) On the Robustness of Bayesian Modelling of Location and Scale Structures Using Heavy-Tailed Distributions. Communications in Statistics - Theory and Methods 42:8, pages 1502-1514.
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David Poole & AdrianE. Raftery. (2000) Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:452, pages 1244-1255.
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Articles from other publishers (11)

J. Ailton A. Andrade. (2022) On the robustness to outliers of the Student‐t process. Scandinavian Journal of Statistics 50:2, pages 725-749.
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Giuseppe De Luca, Jan R. Magnus & Franco Peracchi. (2022) Sampling properties of the Bayesian posterior mean with an application to WALS estimation. Journal of Econometrics 230:2, pages 299-317.
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Emilio Gómez-Déniz & Francisco J. Vázquez-Polo. (2022) Exact credibility reference Bayesian premiums. Insurance: Mathematics and Economics 105, pages 128-143.
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John E. Kolassa & Todd A. Kuffner. (2020) On the validity of the formal Edgeworth expansion for posterior densities. The Annals of Statistics 48:4.
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J. A. A. Andrade & Edward Omey. (2017) Bayesian robustness modelling using the O ‐regularly varying distributions . Statistica Neerlandica 71:3, pages 168-183.
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J. A. A. Andrade & Edward Omey. (2012) Modelling conflicting information using subexponential distributions and related classes. Annals of the Institute of Statistical Mathematics 65:3, pages 491-511.
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Anthony O’Hagan & Luis Pericchi. (2012) Bayesian heavy-tailed models and conflict resolution: A review. Brazilian Journal of Probability and Statistics 26:4.
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Jairo A. Fúquene & Moises Delgado. (2012) A note on Bayesian robustness for count data. Brazilian Journal of Probability and Statistics 26:3.
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J. A. A. Andrade & A. O'Hagan. (2006) Bayesian robustness modeling using regularly varying distributions. Bayesian Analysis 1:1.
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L. G. Hanin, S. T. Rachev, A. D. Tsodikov & A. Yu. Yakovlev. (2016) A Stochastic Model of Carcinogenesis and Tumor Size at Detection. Advances in Applied Probability 29:3, pages 607-628.
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Josemar Rodrigues. (1994) Bayesian estimation of a normal mean parameter using the Linex loss function and robustness considerations. Test 3:2, pages 237-246.
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