معرفی
Nicola Lunardon is an Associate Professor of Statistics at Ca' Foscari University of Venice. He holds a PhD in Statistics from the University of Padua and has held academic positions at the University of Milan-Bicocca, University of Trieste, and others. His research focuses on robust statistics, bias reduction methods, pseudo-likelihoods, and asymptotic theory. He has contributed to advancements in estimation functions and computational statistical methodologies.
- Current Affiliation: Department of Environmental Sciences, Computer Science and Statistics
- Previous Roles: Associate Professor at University of Milan-Bicocca (2019–2023), Research Fellowships at Padua and Trieste Universities (2012–2016)
Research Interests: Lunardon's work emphasizes improving inferential procedures through robust statistical techniques. He has developed methods to address bias in estimating functions, tackle incidental parameters, and enhance computational efficiency. His Bayesian non-parametric approaches have been applied to molecular systems analysis.
Publications span methodological contributions in top journals like Biometrika, Journal of the Royal Statistical Society, and Biometrics. Themes include global sensitivity analysis, longitudinal data modeling, and small-sample GEE estimation.
- Notable Software: Co-developed the ROSE package for imbalanced learning in R
