Foto del docente

Angela Montanari

Professoressa ordinaria

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: STAT-01/A Statistica

Coordinatrice del Corso di Dottorato in Scienze statistiche

Vice Direttrice del Centro di Interesse Strategico Alma Mater Institute on Healthy Planet

Didattica

Ultime tesi seguite dal docente

Tesi di Laurea

  • Adaptive inference by active learning
  • Analisi della performance fisica di una squadra di calcio militante in Serie BKT
  • Artificial Neural Networks for Weather Forecasting
  • Bayesian Analysis of Crime Statistics
  • Comparative Analysis of Machine Learning Algorithms for Clinical Outcome Prediction
  • Dimension reduction: PCA and GPLVM for Simulated Cylinder and Real Handwritten Digits
  • Emulation for Landscape Evolution Models
  • esplorazione di sottogruppi latenti nella popolazione: un’analisi dei tratti big five tramite heteroscedastic factor mixture analysis
  • Hybrid Spatial Models for Air Quality Data
  • Optimal Signal Reduction by Maximum Mean Discrepancy
  • Student Perspective of Teaching Excellence
  • Text and sentiment analysis delle candidature per l'esperienza Erasmus+
  • The Scottish Index of Multiple Deprivation. Analysis, Comparison and Limitations
  • Transition Risk Analysis: un'applicazione del metodo Lasso
  • Visualising the effects of predictor variables in black box models: A Study of PDP and ALE plots with the Pima Indians Diabetes dataset
  • Weather Forecasting using Recurrent Neural Networks

Tesi di Laurea Magistrale

  • Identification of biomarkers of Hairy Cell Leukemia: A study on Extracellular Vesicles and clinical features
  • Identification of clonotype for monitoring minimal residual disease in newly diagnosed multiple myeloma patients
  • SECOND-LINE THERAPY WITH DARATUMUMAB-BORTEZOMIB-DEXAMETHASONE (DaraVD) FOR MULTIPLE MYELOMA (MM) PATIENTS REFRACTORY TO LENALIDOMIDE: RESULTS OF A MULTICENTER OBSERVATIONAL STUDY

Tesi di Dottorato

  • Statistical modelling of heterogeneity in the human gut microbiome