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Regularized Posteriors in Linear Ill-Posed Inverse Problems

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  • JEAN-PIERRE FLORENS
  • ANNA SIMONI

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Suggested Citation

  • Jean-Pierre Florens & Anna Simoni, 2012. "Regularized Posteriors in Linear Ill-Posed Inverse Problems," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(2), pages 214-235, June.
    • Handle: RePEc:bla:scjsta:v:39:y:2012:i:2:p:214-235
    DOI: j.1467-9469.2011.00784.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9469.2011.00784.x
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    Cited by:

    1. S. Darolles & Y. Fan & J. P. Florens & E. Renault, 2011. "Nonparametric Instrumental Regression," Econometrica, Econometric Society, vol. 79(5), pages 1541-1565, September.
    2. Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Annals of Economics and Statistics, GENES, issue 144, pages 1-38.
    3. Florens, Jean-Pierre & Simoni, Anna, 2012. "Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior," Journal of Econometrics, Elsevier, vol. 170(2), pages 458-475.
    4. Florens, Jean-Pierre & Simoni, Anna, 2016. "Regularizing Priors For Linear Inverse Problems," Econometric Theory, Cambridge University Press, vol. 32(1), pages 71-121, February.
    5. Jean-Pierre Florens & Anna Simoni, 2021. "Gaussian Processes and Bayesian Moment Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 482-492, March.
    6. Salomond, Jean-Bernard, 2014. "Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/14331 edited by Rousseau, Judith & Rivoirard, Vincent.

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