GIUMMOLE' Federica

Qualifica Professoressa Associata
Telefono 041 234 8405
E-mail giummole@unive.it
Fax 041 234 8584
Sito web www.unive.it/persone/giummole (scheda personale)
Struttura Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Sede: Campus scientifico via Torino

Pubblicazioni per tipologia

Articolo su rivista
  • Federica Giummolè; Valentina Mameli (2018), Asymptotic minimum scoring rule prediction in ELECTRONIC JOURNAL OF STATISTICS, vol. 12, pp. 2401-2429 (ISSN 1935-7524)
    Link DOIURL correlato Link al documento: 10278/3702353
  • F. Giummolè, V. Mameli, E. Ruli, L. Ventura (2018), Objective Bayesian inference with proper scoring rules in TEST, vol. N/D (ISSN 1133-0686)
    Link DOIURL correlato Link al documento: 10278/3703205
  • G. Fonseca; F. Giummole'; P. Vidoni (2014), Calibrating predictive distributions in JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 84, pp. 373-383 (ISSN 0094-9655)
    Link DOIURL correlato Link al documento: 10278/37416
  • F. Giummolè; S. Orlando; G. Tolomei (2013), A Study on Microblog and Search Engine User Behaviors: How Twitter Trending Topics Help Predict Google Hot Queries in HUMAN, vol. 2, pp. 195-209
    Link al documento: 10278/38460
  • FONSECA G.; GIUMMOLE' F.; VIDONI P. (2012), A note about calibrated prediction regions and distributions in JOURNAL OF STATISTICAL PLANNING AND INFERENCE, vol. 142, pp. 2726-2734 (ISSN 0378-3758)
    Link DOIURL correlato Link al documento: 10278/33681
  • F. GIUMMOLE'; P. VIDONI (2010), Improved prediction limits for a general class of Gaussian models in JOURNAL OF TIME SERIES ANALYSIS, vol. 31, pp. 483-493 (ISSN 0143-9782)
    URL correlato Link al documento: 10278/27990
  • CORCUERA J.M.; GIUMMOLE' F. (2006), Multivariate prediction in BERNOULLI, vol. 12, pp. 157-168 (ISSN 1350-7265)
    Link al documento: 10278/27831
  • GIUMMOLE' F.; VENTURA L (2006), Robust prediction limits based on M-estimators in STATISTICS & PROBABILITY LETTERS, vol. 76, pp. 1735-1740 (ISSN 0167-7152)
    Link al documento: 10278/30288
  • GIUMMOLE' F. (2004), Prediction regions for scale and location models in STATISTICA APPLICATA, vol. 16, pp. 5-15 (ISSN 1125-1964)
    Link al documento: 10278/10538
  • GIUMMOLE' F.; VENTURA L. (2002), Practical point estimation from higher-order pivots. in JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 72, pp. 419-430 (ISSN 0094-9655)
    Link al documento: 10278/10539
  • CORCUERA J.M; GIUMMOLE' F. (1999), A generalized Bayes rule for prediction in SCANDINAVIAN JOURNAL OF STATISTICS, vol. 26, pp. 265-279 (ISSN 0303-6898)
    Link al documento: 10278/10540
  • GIUMMOLE' F.; VENTURA L (1999), A predictive density for semiparametric scale and location models in STATISTICA APPLICATA, vol. 11, pp. 235-250 (ISSN 1125-1964)
    Link al documento: 10278/21488
  • CORCUERA J.M; GIUMMOLE' F. (1999), On the relationship between alpha-connections and the asymptotic properties of predictive distributions in BERNOULLI, vol. 5, pp. 163-176 (ISSN 1350-7265)
    Link al documento: 10278/10541
  • CORCUERA J.M; GIUMMOLE' F. (1998), A characterization of monotone and regular divergences. in ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, vol. 50, pp. 433-450 (ISSN 0020-3157)
    Link al documento: 10278/21300
  • FERRANTE M; GIUMMOLE' F. (1995), A note about the existence of finite dimensional filters for nonlinear systems in discrete-time with uniform noise. in BOLLETTINO DELL'UNIONE MATEMATICA ITALIANA. B, vol. 9-A, pp. 619-631 (ISSN 0392-4041)
    Link al documento: 10278/21302
  • FERRANTE M; GIUMMOLE' F. (1995), Finite dimensional filters for a discrete-time nonlinear system with generalized gaussian white noise. in STOCHASTICS AND STOCHASTICS REPORTS, vol. 53, pp. 195-211 (ISSN 1045-1129)
    Link al documento: 10278/21301
Articolo su libro
  • P. Baldan; N. Cocco; F. Giummole'; M. Simeoni (2013), Comparing Metabolic Pathways through Reactions and Potential Fluxes , Transactions on Petri nets and other models of concurrency VIII, Heidelberg, Springer Berlin / Heidelberg, vol. 8100, pp. 1-23 (ISBN 9783642404641) (ISSN 0302-9743)
    Link DOIURL correlato Link al documento: 10278/37943
  • CORCUERA J.M; GIUMMOLE' F. (2000), First order optimal predictive densities in MARRIOTT P.; SALMON M., Applications of differential geometry to econometrics, Cambridge University Press
    Link al documento: 10278/10117
Articolo in Atti di convegno
  • G. Fonseca, F. Giummolè (2019), Extreme value prediction: an application to sport records , Proceedings of MathSport International 2019 Conference, Atene, Propobos Publications, pp. 96-104, Convegno: MathSport International 2019, 01-03/07/2019 (ISBN 978-618-5036-53-9)
    URL correlato Link al documento: 10278/3715529
  • G. Fonseca, F. Giummolè, P. Vidoni (2018), Simultaneous calibrated prediction intervals for time series , Book of Short Papers SIS 2018, Pearson, pp. 1-6, Convegno: 49th Scientific Meeting of the Italian Statistical Society, 20-22 giugno 2018 (ISBN 9788891910233)
    URL correlato Link al documento: 10278/3701650
  • Giummolè, Federica; Mameli, Valentina; Ventura, Laura (2016), Reference priors based on composite likelihoods in Federica Giummolè, Valentina Mameli, Laura Ventura, Proceedings of the 48th Scientific Meeting of the Italian Statistical Society, Salerno, June 8-10, 2016, Monica Pratesi, Cira Pena, Convegno: 48th Scientific Meeting of the Italian Statistical Society, 8-10 giugno 2016 (ISBN 9788861970618)
    Link al documento: 10278/3674438
  • Federica Giummolè; Salvatore Orlando; Gabriele Tolomei (2013), Trending Topics on Twitter Improve the Prediction of Google Hot Queries , 2013 ASE/IEEE Int.l Conference on Social Computing, IEEE Computer Society, pp. 39-44, Convegno: SocialCom2013 (ISBN 9780769551371)
    Link DOI Link al documento: 10278/38970
  • FONSECA G.; GIUMMOLE' F.; VIDONI P. (2011), Bootstrap calibrated predictive distributions for time series , S.Co.2011: Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction, Padova, Cleup editrice, pp. 1-6, Convegno: S.Co.2011, 19/21 settembre 2011 (ISBN 9788861297531)
    Link al documento: 10278/28666
  • FONSECA G.; GIUMMOLE' F.; VIDONI P. (2011), Prediction in a multidimensional setting , CLADAG2011, Pavia, Pavia University Press, Editoria Scientifica, Convegno: CLADAG2011, 7/9 settembre 2011 (ISBN 9788890663901)
    Link al documento: 10278/23426
  • FONSECA G.; GIUMMOLE' F.; VIDONI P. (2011), Predictive distributions for non regular parametric models in Conesa D., Forte A., Lopez-Quilez A., Munoz F., Proceedings of the 26th International Workshop on Statistical Modelling, Valencia, Spain, Copiformes S.L., pp. 220-223, Convegno: IWSM, 11-15 July (ISBN 9788469451298)
    Link al documento: 10278/26350
  • FONSECA G.; GIUMMOLE' F.; VIDONI P. (2010), Improving estimative prediction regions in A. Bowman, Proceedings of the 25th International Workshop on Statistical Modelling, Glasgow, The University of Glasgow print unit, pp. 201-204, Convegno: 25th International Workshop on Statistical Modelling, July 5-9
    Link al documento: 10278/26112
  • FONSECA G; GIUMMOLE' F.; VENTURA L (2002), Improving maximum likelihood estimation in mixed linear models , Proceedings of the 17th International Workshop on Statistical Modelling, CHANIA, pp. 265-269, Convegno: 17th International Workshop on Statistical Modelling, 8/12.7
    Link al documento: 10278/21305
  • GIUMMOLE' F.; VENTURA L; SALVAN A (2000), Estimating functions based on the modified directed likelihood , Proceedings of the 15th International Workshop on Statistical Modelling, BILBAO, pp. 433-436, Convegno: 15th International Workshop on Statistical Modelling, 17/21.7
    Link al documento: 10278/21304
  • GIUMMOLE' F.; VENTURA L (1999), Prediction limits for semiparametric scale and location models. , Proceedings of the 14th International Workshop on Statistical Modelling, GRAZ, pp. 536-539, Convegno: International Workshop on Statistical Modelling, 19/23.7
    Link al documento: 10278/21303
Abstract in Atti di convegno
  • Mameli, Valentina; Giummolè, Federica (2015), Scoring rules for prediction , Book of abstracts of the 8th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2015), ., Convegno: 8th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2015), 12-14 December 2015 (ISBN 978-9963-2227-0-4)
    Link al documento: 10278/3663551