2 citations · 4 across the 5 of their papers we have counts for
5 papers
Generalized Maximum Entropy: When and Why you need it
Giuseppe M. Ferro, Edwin T. Pos, Andrea Somazzi
The classical Maximum-Entropy Principle (MEP) based on Shannon entropy is widely used to construct least-biased probability distributions from partial information. However, the Sho…
Pregnancy as a dynamical paradox: robustness, control and birth onset
Giuseppe Maria Ferro, Andrea Somazzi, Didier Sornette
The timing of human labor is among the most critical determinants of neonatal survival, yet the mechanisms that govern the transition from uterine quiescence to coordinated contrac…
On nonlinear compression costs: when Shannon meets Rényi
Andrea Somazzi, Paolo Ferragina, Diego Garlaschelli
Shannon entropy is the shortest average codeword length a lossless compressor can achieve by encoding i.i.d. symbols. However, there are cases in which the objective is to minimize…
Social media battle for attention: opinion dynamics on competing networks
Andrea Somazzi, Giuseppe Maria Ferro, Diego Garlaschelli +1
In the age of information abundance, attention is a coveted resource. Social media platforms vigorously compete for users' engagement, influencing the evolution of their opinions o…
Learn your entropy from informative data: an axiom ensuring the consistent identification of generalized entropies
Andrea Somazzi, Diego Garlaschelli
Shannon entropy, a cornerstone of information theory, statistical physics and inference methods, is uniquely identified by the Shannon-Khinchin or Shore-Johnson axioms. Generalizat…