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

by Schilling, René L.
ISBN: 9798599104889
Availability:
$22.55

Available Offers


Pickup at {0} Out of stock at {0} Check other stores
FREE
Ship to Me
$3.99

Overview

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.
  • Format: Trade Paperback
  • Author: Schilling, René L.
  • ISBN: 9798599104889
  • Condition: New
  • Dimensions: 9.02 x 1.00
  • Number Of Pages: 450
  • Publication Year: 2021
Language: English