38 citations · 184 across the 36 of their papers we have counts for
39 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…
Granger Causality in Expectiles: an M-vine copula test
Roberto Fuentes-Martínez, Irene Crimaldi
A model-free measure of Granger causality in expectiles is proposed, generalizing the traditional mean-based measure to arbitrary positions of the conditional distribution. Expecti…
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…
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…
Non-linear dependence and Granger causality: A vine copula approach
Roberto Fuentes-Martínez, Irene Crimaldi, Armando Rungi
Inspired by Jang et al. (2022), we propose a Granger causality-in-the-mean test for bivariate Markov stationary processes based on a recently introduced class of non-linear mod…