4 papers
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…
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…
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…
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…