معرفی
Rebecca Graziani is a Researcher with tenure at Bocconi University's Department of Decision Sciences. She earned her PhD in Methodological Statistics from Università di Trento and conducted postdoctoral research at Bocconi University. Graziani specializes in Bayesian methods and computational statistics with applications in social sciences, particularly demographic forecasting and healthcare analytics.
Her research focuses on developing Bayesian approaches for complex statistical problems including stochastic population projections, network meta-analysis of clinical outcomes, and nonparametric biomarker modeling. She has collaborated with institutions like ISTAT to develop Italy's first probabilistic population forecasts.
Graziani teaches courses in Quantitative Methods, Statistics, and Computational Statistics using SPSS, STATA, R, and Python at both undergraduate and graduate levels across Bocconi's social science programs.
