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Marco Perone Pacifico

Marco Perone Pacifico
Full Professor

Bio

Graduated cum laude in Statistics at University of Rome La Sapienza in 1991. PhD in Statistics, University of Rome La Sapienza in 1995.

Areas of research: Statistics

Search keywords: nonparametric methods, density estimation, multiple testing for spatial data, identification of filaments, manifolds estimation

Departments: Dipartimento di Economia e Finanza

Main pubblications (last 10 years)

  • C., Genovese; PERONE PACIFICO, Marco; Verdinelli, Isabella; L., Wasserman (2016). Non-parametric inference for density modes. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY, p. 99-126. ISSN 1369-7412. http://dx.doi.org/10.1111/rssb.12111.
  • Genovese, Christopher R.; PERONE PACIFICO, Marco; Verdinelli, Isabella; Wasserman, Larry (2016). Finding Singular Features. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, p. 598-609. ISSN 1061-8600. http://dx.doi.org/10.1080/10618600.2016.1260472.
  • Genovese Christopher, R.; Perone-Pacifico, Marco; Verdinelli, Isabella; Wasserman, Larry (2014). Nonparametric Ridge Estimation. ANNALS OF STATISTICS, p. 1511-1545. ISSN 0090-5364. http://dx.doi.org/10.1214/14-AOS1218.
  • Genovese, Christopher R.; PERONE PACIFICO, Marco; Verdinelli, Isabella; Wasserman, Larry (2012). The geometry of nonparametric filament estimation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, p. 788-799. ISSN 0162-1459. http://dx.doi.org/10.1080/01621459.2012.682527.
  • Genovese, Christopher R.; PERONE PACIFICO, Marco; Verdinelli, Isabella; Wasserman, Larry (2012). Manifold estimation and singular deconvolution under Hausdorff loss. ANNALS OF STATISTICS, p. 941-963. ISSN 0090-5364. http://dx.doi.org/10.1214/12-aos994.
  • Genovese, C. R.; PERONE PACIFICO, Marco; Verdinelli, Isabella; Wasserman, L. (2012). Minimax Manifold Estimation. JOURNAL OF MACHINE LEARNING RESEARCH, p. 1263-1291. ISSN 1532-4435.
  • Christopher R., Genovese; PERONE PACIFICO, Marco; Verdinelli, Isabella; Larry, Wasserman (2009). On the path density of a gradient field. ANNALS OF STATISTICS, p. 3236-3271. ISSN 0090-5364. http://dx.doi.org/10.1214/08-aos671.