An information-theoretic approach to higher-order Markov processes: theory and application

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



The defense will be broadcasted in the following zoom link: 


https://us06web.zoom.us/j/84660415028?pwd=NAKwlh33oeQ7eSc5RbQqdMbg0ZbVFL.1



id:846 6041 502



pass: 824988




Detalles de contacto:

Raúl Toral

Contact form


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