His work focusses on Bayesian methods, specifically robustness and stochastic process inference.
He has done innovative work on the sensitivity of Bayesian methods and incompletely specified priors.
He has worked on Bayesian wavelet methods, and on a vast variety of applications to industrial problems.
[1] Ruggeri was an adjunct faculty member at the Polytechnic University of Milan between 1995 and 2003.
He is Editor-in-Chief of Applied Stochastic Models in Business and Industry and of Statistics Reference Online.