Luca Scrucca

Luca Scrucca

Associate Professor of Statistics

Università degli Studi di Perugia

About me

I’m an applied statistician. In a broader sense, I’m also a data scientist because I do data analysis, and I do research on the methodology and computational aspects of data analysis. I’m an enthusiastic R user and package developer.

I’m also serving as Associate Editor for Journal of Statistical Software and Statistics and Computing.

Interests
  • Mixture models
  • Model-based clustering and classification
  • Statistical learning
  • Dimension reduction methods and regression graphics
  • Genetic and evolutionary algorithms
Education
  • PhD in Statistics, 2000

    Università degli Studi di Perugia

  • MSc Statistics, 2000

    University of Minnesota

Research

Recent Publications

Full list of publications.
(2022). Mixture-based estimation of entropy. Computational Statistics & Data Analysis (2023) 177, 107582.

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(2022). Modal clustering on PPGMMGA projection subspace. Australian & New Zealand Journal of Statistics (2022) 64:2, 158–170.

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(2021). A fast and efficient Modal EM algorithm for Gaussian mixtures. Statistical Analysis and Data Mining (2021) 14:4, 305–314.

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(2019). Projection pursuit based on Gaussian mixtures and evolutionary algorithms. Journal of Computational and Graphical Statistics (2019) 28:4, 847–860.

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Software

R packages and functions

I’m the author and/or maintainer of several packages and functions written in , a free software environment for statistical computing and graphics, using RStudio, an integrated development environment (IDE) for R.

Teaching

Courses list

Contact