18 citations · 18 across the 6 of their papers we have counts for
6 papers
Analyzing the daily flows: Exploring shared micro-mobility factors in Venice
Vanshika Keshwani, Stefano Mazzuco
Shared micro-mobility has emerged as a key component of a sustainable urban transportation system, however, limited research exists on how environmental factors influence the mobil…
Beyond the Flow: A Bayesian Latent Clustering Framework for Shared Micro-mobility Users in Venice
Vanshika Keshwani, Stefano Mazzuco
The study on shared micro-mobility is based on trip modeling and user data. User segmentation in shared micromobility systems is traditionally studied by aggregating trip-level obs…
Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity
Emanuele Giovanni Depaoli, Marco Stefanucci, Stefano Mazzuco
Multivariate functional data that are cross-sectionally compositional data are attracting increasing interest in the statistical modeling literature, a major example being trajecto…
Dynamic modeling of mortality via mixtures of skewed distribution functions
Emanuele Aliverti, Stefano Mazzuco, Bruno Scarpa
There has been growing interest on forecasting mortality. In this article, we propose a novel dynamic Bayesian approach for modeling and forecasting the age-at-death distribution,…
Analyzing Cause-Specific Mortality Trends using Compositional Functional Data Analysis
Marco Stefanucci, Stefano Mazzuco
We study the dynamics of cause--specific mortality rates among countries by considering them as compositions of functions. We develop a novel framework for such data structure, wit…
What can we learn from functional clustering of mortality data? An application to HMD data
Ainhoa-Elena Léger, Stefano Mazzuco
In most cases, mortality is analysed considering summary indicators (e.~g. or ) that either focus on a specific mortality component or pool all component-speci…