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CAMERLENGHI FEDERICO

Ruolo: 
ricercatore a tempo determinato
Settore scientifico disciplinare: 
STATISTICA (SECS-S/01)
Afferenza: 
DIPARTIMENTO DI ECONOMIA, METODI QUANTITATIVI E STRATEGIE DI IMPRESA
E-mail: 

federico.camerlenghi@unimib.it

Telefono: 
0264483271
Stanza: 
U07, Piano: P02, Stanza: 2032
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO
Orario di ricevimento: 

Ricevimento su appuntamento

Biografia

CURRENT POSITION: 

  • January 2018-today: Assistant Professor, Department of Economics, Management and Statistics, University of Milano-Bicocca, Milano, Italy.

 

OTHER AFFILIATIONS:

  • December 2016-today: Affiliate, BIDSA (Bocconi Institute for Data Science and Analytics), Bocconi University, Milano, Italy.
  • July 2014-today: Affiliate, De Castro statistics initiative, Collegio Carlo Alberto, Moncalieri (TO), Italy.

 

SHORT BIO:

  • January 2017-December 2017: Postdoctoral fellow, Department of Statistical Sciences, University of Bologna, Bologna, Italy.
  • January 2016-December 2017: Postdoctoral fellow, Department of Decision Sciences, Bocconi University, Milano, Italy.
  • November 2012-November 2015: Ph.D. in Matematics and Statistics, University of Pavia, Pavia, Italy.
  • October 2010-September 2012: Master of Science in Mathematics, University of Milano, Milano, Italy. 
  • October 2007-September 2010: Bachelor of Science in Mathematics, University of Modena and Reggio Emilia, Modena, Italy.

 

AWARDS:

  • 2017: Savage award in Theory and Methods, International Society for Bayesian Analysis.
  • 2016: Award for the Best Ph.D. thesis in Statistics, Italian Statistical Society

 

RESEARCH INTERESTS:

Bayesian nonparametrics; Completely random measures; MCMC methods; Mixture models; Point processes; Species sampling problmes; Survival analysis; Stochastic geometry.

Pagina web personale

Didattica

A.A.: 2018/2019

A.A.: 2017/2018

Pubblicazioni

  • Camerlenghi, F., Lijoi, A., Orbanz, P., & Prünster, I. (2019). Distribution theory for hierarchical processes. ANNALS OF STATISTICS, 47(1), 67-92. Dettaglio
  • Camerlenghi, F., Carota, C., & Favaro, S. (2019). Issues on Bayesian nonparametric measures of disclosure risk. In Smart Statistics for smart applications.
    Book of short papers SIS2019 (pp.119-124).     Dettaglio
  • Camerlenghi, F., Favaro, S., & Masoero, L. (2019). Hierarchies of nonparametric priors. In Smart Statistics for Smart Applications.
    Book of Short papers SIS2019 (pp.125-132).     Dettaglio
  • Ayed, F., Battiston, M., & Camerlenghi, F. (2019). A formal approach to data swapping and disclosure limitation techniques. In Smart Statistics for Smart Applications.
    Book of Short Papers SIS2019 (pp.47-54).     Dettaglio
  • Camerlenghi, F., Favaro, S., Naulet, Z., & Panero, F. (2019). Issues with Nonparametric Disclosure Risk Assessment. In Smart Statistics for Smart Applications.
    Book of short papers SIS2019 (pp.133-139).     Dettaglio
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