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Classification and Cluster Analysis

Patrizia Agati

Associate Professor

  • Classification trees and random forests
  • Bayesian networks
  • Probabilistic weather forecasting
  • Mixture models
  • Bayesian Model Averaging


Laura Anderlucci

Senior Assistant Professor

  • High-dimensional data
  • Text mining
  • Mixture models
  • Dimension reduction/variable selection
  • Data mining


Furio Camillo

Associate Professor

  • Emotions
  • Micromarketing
  • Profiling
  • Lookalike
  • Business


Monica Chiogna


  • ROC analysis
  • Graphical models
  • Structure learning
  • Topological Pathway Analysis


Giuliano Galimberti

Associate Professor

  • Mixture models for regression and clustering
  • Recursive partitioning methods
  • Multivariate regression
  • Animal genomics and metabolomics


Christian Martin Hennig

Associate Professor

  • Cluster validation incl. decision of the number of clusters and benchmarking/comparison of clustering methods
  • Robust cluster analysis
  • Foundations of statistics incl. decision between Bayesian and frequentist methods, and desirable features of statistical analyses
  • Principles of model choice, model selection and model testing
  • Multivariate statistics incl. Dimension reduction and projection methods


Angela Montanari


  • High dimensional and big data analysis
  • Classification and clustering methods
  • Dimension reduction methods
  • Factor Analysis


Marilena Pillati

Associate Professor

  • Regression trees
  • Classification methods


Meri Raggi

Assistant Professor

  • Data integration
  • Policy evaluation
  • Environmental economics and resource management
  • Monetary valuation experiments
  • Contract theory


Gabriele Soffritti

Associate Professor

  • Finite mixture models
  • Seemingly unrelated regression analysis
  • Cluster-weighted models
  • Clusterwise regression
  • Variable selection


Cinzia Viroli


  • Classification and clustering methods
  • High dimensional and big data analysis
  • Mixture models
  • Text mining