activity
20152026
collaborators

9 papers

math.ST2026

A multi-factorial innovation model with mean-field interaction

Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti

We introduce an Indian-buffet-type model for multi-factorial innovation in which each arriving agent may exhibit both previously observed and new features. The number of new featur…

math.PR2026

Triggered urn models for frequently asked questions (FAQ)

Irene Crimaldi, Andrea Ghiglietti, Leen Hatem +1

We investigate a nonclassic urn model with triggers that increase the number of colors. The scheme has emerged as a model for web services that set up frequently asked questions (F…

stat.AP2025

Modeling Innovation Ecosystem Dynamics through Interacting Reinforced Bernoulli Processes

Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti +1

Innovation is cumulative and interdependent: successful inventions build on prior knowledge within technological fields and may also affect success across related ones. Yet these d…

stat.ME2025

Central limit theorems for interacting innovation processes, related statistical tools and general results

Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti

We study a networked system of innovation processes, where each process is modeled as an urn with infinitely many colors-a classical framework for capturing the emergence of novelt…

stat.ME2024

Design and inference for multi-arm clinical trials with informational borrowing: the interacting urns design

Giacomo Aletti, Alessandro Baldi Antognini, Irene Crimaldi +2

This paper deals with a new design methodology for stratified comparative experiments based on a system of interacting urns. The key idea is to model the interaction between urns f…

stat.AP2023

Interacting Innovation processes: case studies from Reddit and Gutenberg

Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti

In this work, we introduce an extremely general model for a collection of innovation processes in order to model and analyze the interaction among them. We provide theoretical resu…