Measure, Integral, Probability & Processes: A concise introduction to probability and random processes. Probab(ilistical)ly the theoretical minimum - Couverture souple

Schilling, René L.

Couverture souple

ISBN 13 : 9798599104889

Editeur : Independently published, 2021

Synopsis

In these lecture notes we give a self-contained and concise introduction to the essentials of modern probability theory. The material covers all concepts and techniques usually taught at BSc and first-year graduate level probability courses: Measure & integration theory, elementary probability theory, further probability, classic limit theorems, discrete-time and continuous-time martingales, Poisson processes, random walks & Markov chains and, finally, first steps towards Brownian motion. The text can serve as a course companion, for self study or as a reference text. Concepts, which will be useful for later chapters and further studies are introduced early on. The material is organized and presented in a way that will enable the readers to continue their study with any advanced text in probability theory, stochastic processes or stochastic analysis. Much emphasis is put on being reader-friendly and useful, giving a direct and quick start into a fascinating mathematical topic.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2021
• Langue: anglais
• ISBN 13: 9798599104889
• Reliure: Broché
• Nombre de pages: 448
• Coordonnées du fabricant: non disponible