Massimo Ventrucci

Research topics:

• Regression models for spatial data with focus on the problem of spatial confounding
• Bayesian hierarchical modeling with focus on prior choice for scale parameters (examples of applications: flexible regression models via penalized spline regression, mixed models, varying coefficient models, spatio-temporal smoothing models).
• Smoothing models for spatially and temporally structured data
  
• Regression for compositional data
• Main application fields are: biostatistics, environmental sciences, ecology, epidemiology.