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Multivariate Analysis and Latent Variable Models

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

 

Silvia Bianconcini

Associate Professor

  • Approximate likelihood inference
  • Structural equation models
  • Signal extraction/trend-cycle estimation
  • Longitudinal data analysis
  • Generalized linear models

 

Silvia Cagnone

Associate Professor

  • Latent variable model for categorical and longitudinal data
  • Structural equation models
  • Multilevel models
  • Estimation and goodness of fit of latent variable models
  • Applications to health, educational and social sciences

 

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

 

Alessandro Lubisco

Assistant Professor

  • Latent variable models
  • Panel e pseudo panel data
  • Longitudinal data analysis
  • Partial Least Squares (PLS)
  • Satisfaction analysis

 

Mariagiulia Matteucci

Associate Professor

  • MCMC estimation of item response theory (IRT) models
  • Posterior predictive assessment of IRT models
  • Automated test assembly
  • Statistical models for educational assessment

 

Stefania Mignani

Professor

  • Item response theory models
  • Goodness of ift techniques
  • Test equating and test assembly
  • Statistical education
  • Big data analytics in sports

 

Angela Montanari

Professor

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

 

Livia Elisa Ortensi

Senior Assistant Professor

  • Female genital mutilation
  • Onward and return migration
  • Citizenship studies
  • Refugee studies
  • Migrant fertility and skewed sex ratio at birth

 

Marilena Pillati

Associate Professor

  • Regression trees
  • Classification methods

 

Gabriele Soffritti

Associate Professor

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

 

Luisa Stracqualursi

Assistant Professor

  • Logistic regression
  • Social network analysis
  • Model averaging

 

Cinzia Viroli

Professor

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