Discrete Stochastic Processes: Tools for Machine Learning and Data Science - Couverture souple

Privault, Nicolas

 
9783031658198: Discrete Stochastic Processes: Tools for Machine Learning and Data Science
Couverture souple
ISBN 10 : 3031658191 ISBN 13 : 9783031658198
Editeur : Springer, 2024

Synopsis

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning.

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À propos de l?auteur

Nicolas Privault received a PhD degree from the University of Paris VI, France. He was with the University of Evry, France, the University of La Rochelle, France, and the University of Poitiers, France. He is currently a Professor with the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. His research interests are in the areas of stochastic analysis and its applications.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2024
Langue
anglais
ISBN 10 
3031658191
ISBN 13 
9783031658198
Reliure
Broché
Nombre de pages
300
Coordonnées du fabricant
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