MAMELI Valentina

Qualifica Ricercatrice
Telefono 041 234 7549 041 234 8401
E-mail valentina.mameli@unive.it
Sito web www.unive.it/persone/valentina.mameli (scheda personale)
Struttura Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: http://www.unive.it/dais
Sede: Campus scientifico via Torino
Struttura Centro Europeo Interuniversitario di Ricerca - European Center for Living Technology
Sito web struttura: http://www.unive.it/eclt
Struttura Dipartimento di Management
Sito web struttura: http://www.unive.it/management
Sede: San Giobbe

Pubblicazioni per tipologia

Articolo su rivista
Articolo su libro
  • Mameli, V.; Slanzi, D.; Poli, I. (in corso di stampa), Estimating High-Dimensional Regression Models with Bootstrap group Penalties in A. Petrucci, F. Racioppi, R. Verde, New Statistical Developments in Data Science, Springer (ISSN 2194-1009)
    Link al documento: 10278/3708952 abstract
  • Mameli, Valentina; Brazzale, Alessandra R. (2019), Frequentist and Bayesian small-sample confidence intervals for Gini’s gamma index in a Gaussian bivariate copula in Crocetta Corrado, Theoretical and Applied Statistics. SIS 2015., Springer, Cham, vol. 274, pp. 49-60 (ISBN 978-3-030-05419-9) (ISSN 2194-1009)
    Link DOI Link al documento: 10278/3690313 abstract
  • Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene (2018), Multi-objective Optimization in High-Dimensional Molecular Systems , Artificial Life and Evolutionary Computation. WIVACE 2017., Springer International Publishing, vol. 830, pp. 284-295 (ISBN 978-3-319-78657-5; 978-3-319-78658-2) (ISSN 1865-0929)
    Link DOI Link al documento: 10278/3699716
  • Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2017), Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach in Federico Rossi; Stefano Piotto; Simona Concilio, Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, Springer International Publishing, vol. 708, pp. 114-125 (ISBN 978-3-319-57710-4) (ISSN 1865-0929)
    Link DOI Link al documento: 10278/3686374
  • Mameli, Valentina; Musio, Monica (2016), Some New Results on the Beta Skew-Normal Distribution in G. Alleva; A. Giommi, Topics in Theoretical and Applied Statistics, Springer International Publishing Switzerland, pp. 25-36 (ISBN 978-3-319-27272-6; 978-3-319-27274-0) (ISSN 2194-7767)
    Link DOI Link al documento: 10278/3703363 abstract
  • Musio, Monica; Sauleau, Erik-A.; Mameli, Valentina (2013), Using Integrated Nested Laplace Approximations for Modelling Spatial Healthcare Utilization in Grigoletto M., Lisi F., Petrone S., Complex Models and Computational Methods in Statistics, Springer, Milano, pp. 187-201 (ISBN 978-88-470-2870-8; 978-88-470-2871-5) (ISSN 1431-1968)
    Link DOI Link al documento: 10278/3703402 abstract
Articolo in Atti di convegno
  • Musio, M.; Mameli, V.; Ruli, E.; Ventura, L. (in corso di stampa), Bayesian Inference for directional data through ABC and homogeneous proper scoring rules , Proceedings of the 61th ISI World Statistics Congress, ???, pp. 1-6, Convegno: 61th ISI World Statistics Congress, 16-21 July 2017
    Link al documento: 10278/3703393
  • Distefano, V.; Mameli, V.; Della Marra, F. (2018), Bootstrap ClustGeo with spatial constraints in Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino, Proceedings of the 49th Scientific meeting of the Italian Statistical Society, Pearson, pp. 1-6, Convegno: 49th Scientific meeting of the Italian Statistical Society, 20-22 June 2018 (ISBN 9788891910233)
    Link al documento: 10278/3706433
  • Slanzi, D.; Mameli, V.; Poli, I. (2018), On Bayesian high-dimensional regression with binary predictors: a simulation study in Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino, Proceedings of the 49th Scientific Meeting of the Italian Statistical Society, Pearson, pp. 1-6, Convegno: 49th Scientific Meeting of the Italian Statistical Society, 20-22 June 2018 (ISBN 9788891910233)
    Link al documento: 10278/3706449
  • Mameli, Valentina; Slanzi, Debora; Poli, Irene (2018), On the estimation of high-dimensional regression models with binary covariates in Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino, Proceedings of the 49th Scientific Meeting of the Italian Statistical Society, Pearson, pp. 1-6, Convegno: 49th Scientific Meeting of the Italian Statistical Society, 20-22 Giugno 2018 (ISBN 9788891910233)
    Link al documento: 10278/3701764
  • Mameli, Valentina; Slanzi, Debora; Poli, Irene (2017), Bootstrap group penalty for highdimensional regression models , Proceedings of the Conference of the Italian Statistical Society, Alessandra Petrucci, Rosanna Verde, pp. 633-638, Convegno: Statistics and Data Science: new challenges, new generations., 28-30 June 2017 (ISBN 978-88-6453-521-0)
    Link al documento: 10278/3690309
  • Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene (2017), Evolving multi-objective optimization in high dimensional systems , Wivace 2017 - Book of Abstracts, Reggio Emilia (RE), Università degli Studi di Modena e Reggio Emilia, pp. 40-44, Convegno: WIVACE 2017, 19-21 September 2017 (ISBN 978-88-903581-3-5)
    Link al documento: 10278/3698402
  • Giummole', 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 abstract
  • Mameli, Valentina; Musio, M.; Ventura, L. (2015), Simulated adjustment of the signed scoring rule root statistic , Proceedings of the 30th International Workshop on Statistical Modelling, volume 2, Herwig Friedl, Helga Wagner, pp. 155-158, Convegno: 30th International Workshop on Statistical Modelling, July 6 -10, 2015
    Link al documento: 10278/3662433
  • Mameli, Valentina; Brazzale, A. R. (2015), Small-sample inference on measures of concordance for the Gaussian bivariate copula with emphasis on Gini’s gamma index , Atti della riunione intermedia della SIS “Statistics and Demography: the Legacy of Corrado Gini”, Corrado Crocetta, pp. 1-6, Convegno: Statistics and Demography: the Legacy of Corrado Gini (ISBN 978 886787 4521)
    Link al documento: 10278/3662435
  • Mameli, V.; Musio, M.; Dawid, A. P. (2014), Comparison of approaches to inference in stationary AR(1) models , Proceedings of the 47th meeting of the Italian Statistical Society, ??, Convegno: 47th meeting of the Italian Statistical Society, 11-13 giugno 2014
    Link al documento: 10278/3703420
  • Brazzale, A. R.; Mameli, V. (2014), Small-sample likelihood asymptotics for the equi-correlated bivariate normal model. , Proceedings of the 47th meeting of the Italian Statistical Society, ?, Convegno: 47th meeting of the Italian Statistical Society, 11-13 giugno 2014 (ISBN 978-88-8467-874-4)
    Link al documento: 10278/3703421
  • Mameli, V.; Brazzale, A. R. (2013), Recent asymptotics for the parameter of skewness: an application to mono-zygotic twin studies. , Atti del IX congresso nazionale della società italiana di biometria, ???, pp. 167-170, Convegno: IX congresso Nazionale della Società Italiana di Biometria, 27-28 Giugno 2013
    Link al documento: 10278/3703412
  • Mameli, V.; Musio, M.; Deiana, L. (2013), Study of the longevity in Sardinia: an application of the beta skew-normal regression in Muggeo, Vito M. R.; Capursi Vincenza; Boscaino, Giovanni; Lovison, Gianfranco, Proceedings of the 28th International Workshop on Statistical Modelling, Gruppo Istituto Poligrafico Europeo srl, vol. 2, pp. 681-684, Convegno: 28 th International Workshop on Statistical Modelling, 8-12 July 2013 (ISBN 9788896251492)
    Link al documento: 10278/3703410
  • Mameli, V.; Musio, M. (2012), Note on a new generalization of the skew normal distribution , Proceedings of the 46th Scientific Meeting of the Italian Statistical Society, ???, Convegno: 46th Scientific Meeting of the Italian Statistical Society, 20-22 Giugno 2012 (ISBN 978-88-6129-882-8)
    Link al documento: 10278/3703416
Abstract in Atti di convegno
  • Mameli, V; Musio,M; Ventura,L; (2016), On the use of the Hyvarinen score in Bayesian inference in Mameli, V; Musio, M; Ventura,L;, Book of Abstracts of the ISBA 2016 World Meeting, Cabras, S; Guindani, M;, Convegno: ISBA 2016 World Meeting, June 13-17, 2016 (ISBN 9-788884-679833)
    Link al documento: 10278/3685925
  • Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene (2016), Reducing dimensionality of molecular systems: a Bayesian non-parametric approach , Proceedings of the 11th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, WIVACE, Convegno: Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, 4-7 Ottobre 2016
    Link al documento: 10278/3685656
  • Mameli,V; Musio, M; Ventura, L; (2015), Higher-order adjustments of the signed scoring rule root statistic , 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), Blanco-Fernandez, A; Gonzalez-Rodriguez,G;, 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: 10278/3685926
  • Columbu, S; Mameli,V; Musio, M; (2015), Hyvärinen scoring rule estimators for a single linear time series , 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), Blanco-Fernandez, A; Gonzalez-Rodriguez,G;, 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: 10278/3685927
  • 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