IACOPINI Matteo

Qualifica Cultore della materia
E-mail matteo.iacopini@unive.it
956154@stud.unive.it
Sito web www.unive.it/persone/matteo.iacopini (scheda personale)
 https://matteoiacopini.github.io/
Struttura Dipartimento di Economia
Sito web struttura: https://www.unive.it/dip.economia
Research Institute Research Institute for Complexity

Pubblicazioni per tipologia

Articolo su rivista
  • Stefano Tonellato; Matteo Iacopini (2018), Contributed discussion to Using Stacking to Average Bayesian Predictive Distributions in BAYESIAN ANALYSIS, vol. N/D (ISSN 1936-0975)
    Link DOIURL correlato Link al documento: 10278/3704365
  • Casarin Roberto; Iacopini Matteo; Rossini Luca (2017), Sparse graphs using exchangeable random measures in JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY, vol. 79, pp. 1295-1366 (ISSN 1369-7412)
    Link DOI Link al documento: 10278/3691785
Articolo su libro
  • Billio M., Casarin R., Costola M., Iacopini M. (2021), COVID-19 spreading in financial networks: A semiparametric matrix regression model in Billio M., Casarin R., Costola M., Iacopini M., Working Paper Series - Department of Economics of the Ca’ Foscari University of Venice (ISSN 1827-3580), Department of Economics, University of Venice "Ca' Foscari, vol. 2021/05, pp. 1-34
    Link al documento: 10278/3735307
  • Monica Billio, Roberto Casarin, Matteo Iacopini (2018), Bayesian Markov switching tensor regression for time-varying networks in Monica Billio, Roberto Casarin, Matteo Iacopini, Bayesian Markov switching tensor regression for time-varying networks, Dipartimento di Economia, Università Ca' Foscari Venezia, pp. 1-61 (ISSN 1827-3580)
    Link DOIURL correlato Link al documento: 10278/3700802
  • Monica Billio, Roberto Casarin, Matteo Iacopini (2018), Bayesian Tensor Binary Regression , Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, pp. 143-147 (ISBN 978-3-319-89823-0)
    Link DOI Link al documento: 10278/3700828
  • Monica Billio, Roberto Casarin, Matteo Iacopini (2018), Bayesian Tensor Regression Models , Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, pp. 159-163 (ISBN 978-3-319-89823-0)
    Link DOI Link al documento: 10278/3700829
  • Monica Billio, Roberto Casarin, Sylvia Kaufmann, Matteo Iacopini (2018), Bayesian dynamic tensor regression in Monica Billio, Roberto Casarin, Sylvia Kaufmann, Matteo Iacopini, Bayesian dynamic tensor regression, Dipartimento di Economia, Università Ca' Foscari Venezia, pp. 1-62 (ISSN 1827-3580)
    Link DOIURL correlato Link al documento: 10278/3700801
  • Dominque Guégan, Matteo Iacopini (2018), Nonparametric forecasting of multivariate probability density functions in Dominique Guégan, Matteo Iacopini, Nonparametric forecasting of multivariate probability density functions, Dipartimento di Economia, Università Ca' Foscari Venezia, pp. 1-45 (ISSN 1827-3580)
    Link DOIURL correlato Link al documento: 10278/3700804
Articolo in Atti di convegno
  • Billio, Monica; Casarin, Roberto; Iacopini, Matteo (2017), Bayesian Tensor Regression Models in Billio M., Casarin R., Iacopini M., Proceedings of the Conference of the Italian Statistical Society. Statistics and Data Science: new challenges, new generations, Firenze University Press, pp. 179-186, Convegno: Conference of the Italian Statistical Society, 2017 (ISBN 978-88-6453-521-0)
    Link al documento: 10278/3691747
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