In this doctoral thesis, we develop an information-theoretic framework to quantify and analyze correlations and memory effects in stochastic processes, demonstrating its effectiveness through theoretical results and real-world applications.
Thesis supervisors: David Sánchez and Raúl Toral
Jury:
- Marta Sales Pardo, Universitat Rovira i Virgili
- Salvatore Miccichè, Università degli Studi di Palermo
- Massimiliano Zanin, Universitat de les Illes Balears
id:846 6041 502
pass: 824988
Contact details:
Raúl Toral Contact form