Gabriele Pittarello

Pubblicazioni

Titolo Pubblicato in Anno
GEMAct: a Python package for non-life (re)insurance modeling ANNALS OF ACTUARIAL SCIENCE (PRINT) 2024
An individual model for claims reserving based on Bayesian neural networks 2022

ERC

  • LS1
  • PE1_22
  • PE6_11
  • SH1_5

KET

  • Big data & computing

Interessi di ricerca

Machine learning applications to actuarial science, mostly in general insurance. Computational methods for non-life insurance. Collective risk model

Keywords

artificial neural networks (ANNs)
actuarial science
individual claims reserving
insurance risk process
portfolio insurance
machine learning

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