4 papers
Model-based clustering of compositional trajectories for the analysis of mobility data
Andrea Panarotto, Manuela Cattelan, Ruggero Bellio
Understanding urban mobility patterns is crucial for designing efficient and sustainable transportation systems. Motivated by an application to the municipality of Padova and its s…
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
Ruggero Bellio, Swarnadip Ghosh, Art B. Owen +1
Estimation of crossed random effects models commonly requires computational costs that grow faster than linearly in the sample size , often as fast as , making them…
Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
Vincenzo Gioia, Matteo Fasiolo, Ruggero Bellio +1
We propose efficient computational methods to fit multivariate Gaussian additive models, where the mean vector and the covariance matrix are allowed to vary with covariates, in an…
When Composite Likelihood Meets Stochastic Approximation
Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen +1
A composite likelihood is an inference function derived by multiplying a set of likelihood components. This approach provides a flexible framework for drawing inference when the li…