Speaker

Vincenzo Gioia

Vincenzo Gioia

University of Trieste, Department of Economic, Business, Mathematical and Statistical Sciences "Bruno De Finetti", Trieste, Italy; Research Assistant; Ph.D.

Trieste, Italy

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Vincenzo Gioia is a research assistant at the Department of Economic, Business, Mathematical and Statistical Sciences of the University of Trieste, Italy.
He received the PhD in Managerial and Actuarial Sciences, curriculum in Statistics and Actuarial Sciences, from the University of Udine in 2023.
His research interests range from asymptotic methods to semi-parametric regression modelling techniques, with particular emphasis on statistical computing and applications in engineering, economics, environmental and life sciences.

Area of Expertise

  • Business & Management
  • Energy & Basic Resources
  • Environment & Cleantech
  • Physical & Life Sciences

SCM: An R package for generalized additive modelling of covariance matrices

Coupling additive mean vector and covariance matrix modelling for multivariate Gaussian models is a complex task, requiring methodological choices on the model structure, scalability of the model fitting procedures, and a set of tailored inferential and model-checking tools. The SCM (Smoothing for Covariance matrix Modelling) R package enables smooth additive modelling of the elements of the mean vector and of an unconstrained parametrisation of the covariance matrix, while ensuring computational scalability by exploiting model sparsity and using the efficient linear algebra routines provided by the RcppArmadillo package. It also leverages the well-developed inferential methods and the visualization tools provided by the mgcv and mgcViz R packages.

In this talk, we will illustrate the modelling capabilities of the SCM package and we will provide useful insights into the data modelling process on several real-world applications. In particular, we will provide an overview of the main aspects of the model building and checking phases, as well as insights on how to interpret the model output. The SCM package is currently available at https://github.com/VinGioia90/SCM/.

useR! Sessionize Event

July 2024 Salzburg, Austria

Vincenzo Gioia

University of Trieste, Department of Economic, Business, Mathematical and Statistical Sciences "Bruno De Finetti", Trieste, Italy; Research Assistant; Ph.D.

Trieste, Italy

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