29 citations · 71 across the 16 of their papers we have counts for
17 papers
Understanding Long-Term Dynamics of Individual Metro Usage: A Hidden Semi-Markov State Framework with Survival Analysis
Bingxun Wang, Valeria Maria Urbano, Shan He +4
Understanding how individual metro usage evolves over multi-year horizons is essential for transit planning and passenger retention. However, existing approaches typically characte…
A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea
Leonardo Marchesin, Alessandra Menafoglio, Piercesare Secchi
Sea surface temperature (SST) is a fundamental determinant of global climate dynamics and economic activity. Reliable projections of future SST patterns depend critically on a rigo…
Fixed Rank co-Kriging: a model for multivariate spatial prediction
Gaia Caringi, Piercesare Secchi
This work develops a multivariate extension of the Fixed Rank Kriging (FRK) framework for spatial prediction in settings where multiple spatial processes may provide complementary…
Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization
Nicole Fontana, Francesca Ieva, Luisa Zuccolo +2
Mendelian Randomization is a widely used instrumental variable method for assessing causal effects of lifelong exposures on health outcomes. Many exposures, however, have causal ef…
Day-Ahead Electricity Price Forecasting Using Merit-Order Curves Time Series
Guillaume Koechlin, Filippo Bovera, Piercesare Secchi
We introduce a general, simple, and computationally efficient functional data analysis framework for forecasting day-ahead supply and demand merit-order curves, and the resulting e…
A Blind Source Separation Framework to Monitor Sectoral Power Demand from Grid-Scale Load Measurements
Guillaume Koechlin, Filippo Bovera, Elena Degli Innocenti +4
As demand-side flexibility becomes increasingly necessary to integrate variable renewable energy, understanding electricity demand composition across different grid levels is essen…
Three Distributional Approaches for PM10 Assessment in Northern Italy
Marco F. De Sanctis, Andrea Gilardi, Giacomo Milan +3
We propose three spatial methods for estimating the full probability distribution of PM10 concentrations, with the ultimate goal of assessing air quality in Northern Italy. Moving…
Spatio-Temporal Analysis of Public Transportation Undercrowding: Leveraging APC Data for a Comprehensive Evaluation of Usage Rates
Arianna Burzacchi, Valeria Maria Urbano, Marika Arena +3
The analysis of the transportation usage rate provides opportunities for evaluating the efficacy of the transportation service offered by proposing an indicator that integrates act…
Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms
Dario Arnaldo Domanin, Matteo Pegoraro, Santi Trimarchi +2
Abdominal Aortic Aneurysm consists of a permanent dilation in the abodminal portion of the aorta and, along with its associated pathologies like calcifications and intraluminal thr…
Heterogeneous drivers of overnight and same-day visits
Francesco Scotti, Andrea Flori, Piercesare Secchi +2
This paper aims to explore the factors stimulating different tourism behaviours, with specific reference to same-day visits and overnight stays. To this aim, we employ mobile netwo…
Estimation of Dynamic Origin-Destination Matrices in a Railway Transportation Network integrating Ticket Sales and Passenger Count Data
Greta Galliani, Piercesare Secchi, Francesca Ieva
Accurately estimating Origin-Destination (OD) matrices is a topic of increasing interest for efficient transportation network management and sustainable urban planning. Traditional…
Functional Data Representation with Merge Trees
Matteo Pegoraro, Piercesare Secchi
In this paper we face the problem of representation of functional data with the tools of algebraic topology. We represent functions by means of merge trees, which, like the more co…
Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
Oleksandr Didkovskyi, Giovanni Azzone, Alessandra Menafoglio +1
The assessment of the vulnerability of a community endangered by seismic hazard is of paramount importance for planning a precision policy aimed at the prevention and reduction of…
Kriging Riemannian Data via Random Domain Decompositions
Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi
Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, e.g. in environmental sciences and in geoscience.…
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
Alessandra Cabassi, Davide Pigoli, Piercesare Secchi +1
In this paper, we generalize the metric-based permutation test for the equality of covariance operators proposed by Pigoli et al. (2014) to the case of multiple samples of function…
A functional equation whose unknown is P([0,1]) valued
Giacomo Aletti, Caterina May, Piercesare Secchi
We study a functional equation whose unknown maps a Euclidean space into the space of probability distributions on [0,1]. We prove existence and uniqueness of its solution under su…
A Central Limit Theorem, and related results, for a two-color randomly reinforced urn
G. Aletti, C. May, P. Secchi
We prove a Central Limit Theorem for the sequence of random compositions of a two-color randomly reinforced urn. As a consequence, we are able to show that the distribution of the…