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

Schilling, René L.

Softcover

ISBN 13: 9798599104889

Publisher: 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.

Edition details

• Publisher: Independently published
• Publication date: 2021
• ISBN 13: 9798599104889
• Binding: Paperback
• Language: English
• Number of pages: 448