9 citations · 20 across the 9 of their papers we have counts for
11 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…
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…
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…
Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great Britain
V. Gioia, M. Fasiolo, J. Browell +1
Forecasts of regional electricity net-demand, consumption minus embedded generation, are an essential input for reliable and economic power system operation, and energy trading. Wh…
Separable spatio-temporal kriging for fast virtual sensing
M. Lambardi di San Miniato, R. Bellio, L. Grassetti +1
Environmental monitoring is a task that requires to surrogate system-wide information with limited sensor readings. Under the proximity principle, an environmental monitoring syste…
Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications
Ruggero Bellio, Ioannis Kosmidis, Alessandra Salvan +1
Inference about a scalar parameter of interest typically relies on the asymptotic normality of common likelihood pivots, such as the signed likelihood root, the score and Wald stat…
Bayesian Multi-study Factor Analysis for High-throughput Biological Data
Roberta De Vito, Ruggero Bellio, Lorenzo Trippa +1
This paper presents a new modeling strategy for joint unsupervised analysis of multiple high-throughput biological studies. As in Multi-study Factor Analysis, our goals are to iden…
Multi-study Factor Analysis
Roberta De Vito, Ruggero Bellio, Lorenzo Trippa +1
We introduce a novel class of factor analysis methodologies for the joint analysis of multiple studies. The goal is to separately identify and estimate 1) common factors shared acr…
Beyond first-order asymptotics for Cox regression
Donald A. Pierce, Ruggero Bellio
To go beyond standard first-order asymptotics for Cox regression, we develop parametric bootstrap and second-order methods. In general, computation of -values beyond first order…
Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem
Ruggero Bellio, Sara Ceschia, Luca Di Gaspero +2
We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulatio…