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research

 Research interests

Methods

Likelihood and likelihood-type inference, higher order asymptotics, non regular problems; model-based classification and clustering; measurement error; measurement agreement; conditional inference; robustness

Modeling

Linear and nonlinear models, hierarchical and mixed models, growth curve models; contingency tables

Computing

Statistical software development; computer algebra; MCMC

Fields

Astrostatistics, environmental and cancer epidemiology, life sciences, functional genomics and proteomics

Applications

High-energy extra galactic sources, variable stars, light curves; bioelectromagnetism, diabetes, hearing impariment; acquatic ecotoxicity studies, repeatability/reproducibility studies

 

Last updated on January 2, 2020

Dipartimento di Scienze Statistiche | Università degli studi di Padova