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Catia Scricciolo

Personal Details

First Name:Catia
Middle Name:
Last Name:Scricciolo
Suffix:
RePEc Short-ID:psc800
[This author has chosen not to make the email address public]

Affiliation

Dipartimento di Scienze Economiche
Facoltà di Economia
Università degli Studi di Verona

Verona, Italy
http://www.dse.univr.it/
RePEc:edi:isverit (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Catia Scricciolo, 2018. "Bayes and maximum likelihood for $$L^1$$ L 1 -Wasserstein deconvolution of Laplace mixtures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 333-362, June.
  2. Catia Scricciolo, 2015. "Empirical Bayes Conditional Density Estimation," Statistica, Department of Statistics, University of Bologna, vol. 75(1), pages 37-55.
  3. Sonia Petrone & Stefano Rizzelli & Judith Rousseau & Catia Scricciolo, 2014. "Empirical Bayes methods in classical and Bayesian inference," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 201-215, August.
  4. S. Petrone & J. Rousseau & C. Scricciolo, 2014. "Bayes and empirical Bayes: do they merge?," Biometrika, Biometrika Trust, vol. 101(2), pages 285-302.
  5. Catia Scricciolo, 2008. "A note on Bayesian nonparametric regression function estimation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 321-334, July.
  6. Catia Scricciolo, 2007. "On Rates of Convergence for Bayesian Density Estimation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(3), pages 626-642, September.
  7. Catia Scricciolo, 1999. "Probability matching priors: a review," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 8(1), pages 83-100, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Catia Scricciolo, 2015. "Empirical Bayes Conditional Density Estimation," Statistica, Department of Statistics, University of Bologna, vol. 75(1), pages 37-55.

    Cited by:

    1. Norets, Andriy & Pelenis, Justinas, 2022. "Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity," Journal of Econometrics, Elsevier, vol. 230(1), pages 62-82.

  2. Sonia Petrone & Stefano Rizzelli & Judith Rousseau & Catia Scricciolo, 2014. "Empirical Bayes methods in classical and Bayesian inference," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 201-215, August.

    Cited by:

    1. Adebanji, Atinuke & Rios Insua, David & Ruggeri, Fabrizio, 2022. "Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).

  3. S. Petrone & J. Rousseau & C. Scricciolo, 2014. "Bayes and empirical Bayes: do they merge?," Biometrika, Biometrika Trust, vol. 101(2), pages 285-302.

    Cited by:

    1. Cabras, Stefano & Fidrmuc, Jan & de Dios Tena Horrillo, Juan, 2017. "Minimum wage and employment: Escaping the parametric straitjacket," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-20.
    2. Stefano Cabras & Juan de Dios Tena Horrillo, 2016. "A Bayesian non-parametric modeling to estimate student response to ICT investment," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(14), pages 2627-2642, October.
    3. Latouche, Pierre & Mattei, Pierre-Alexandre & Bouveyron, Charles & Chiquet, Julien, 2016. "Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 177-190.
    4. Frazier, David T. & Maneesoonthorn, Worapree & Martin, Gael M. & McCabe, Brendan P.M., 2019. "Approximate Bayesian forecasting," International Journal of Forecasting, Elsevier, vol. 35(2), pages 521-539.
    5. Cheung, Ka Chun & Yam, Sheung Chi Phillip & Zhang, Yiying, 2022. "Satisficing credibility for heterogeneous risks," European Journal of Operational Research, Elsevier, vol. 298(2), pages 752-768.
    6. Julyan Arbel & Riccardo Corradin & Bernardo Nipoti, 2021. "Dirichlet process mixtures under affine transformations of the data," Computational Statistics, Springer, vol. 36(1), pages 577-601, March.

  4. Catia Scricciolo, 2007. "On Rates of Convergence for Bayesian Density Estimation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(3), pages 626-642, September.

    Cited by:

    1. Catia Scricciolo, 2018. "Bayes and maximum likelihood for $$L^1$$ L 1 -Wasserstein deconvolution of Laplace mixtures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 333-362, June.

  5. Catia Scricciolo, 1999. "Probability matching priors: a review," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 8(1), pages 83-100, April.

    Cited by:

    1. Williamson Jon, 2023. "Bayesianism from a philosophical perspective and its application to medicine," The International Journal of Biostatistics, De Gruyter, vol. 19(2), pages 295-307, November.

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