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

Schilling, RenÉ L.

ISBN 13: 9798599104889

Editore: Independently published, 2021

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Unread book in perfect condition. Codice articolo 43256050

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Titolo: Measure, Integral, Probability & Processes: ...

Casa editrice: Independently published

Data di pubblicazione: 2021

Legatura: Brossura

Condizione: As New

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Riassunto:

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.