Logo

An Introduction to Probability and Random Processes

An Introduction to Probability and Random Processes
by


Number of pages: 467

Description:
The purpose of this course is to learn to think probabilistically. We begin by giving a bird's-eye view of probability by examining some of the great unsolved problems of probability theory. It's only by seeing what the unsolved problems are that one gets a feeling for a field.

Download or read it online for free here:
Download link
(3MB, PDF)

Similar books

Book cover: Applied ProbabilityApplied Probability
by - Connexions
This textbook covers most aspects of advanced and applied probability. The book utilizes a number of user defined m-programs, in combination with built in MATLAB functions, for solving a variety of probabilistic problems.
(7541 views)
Book cover: ProbabilityProbability
by - Trinity College
This material was made available for the course Probability of the Mathematical Tripos. Contents: Basic Concepts; Axiomatic Probability; Discrete Random Variables; Continuous Random Variables; Inequalities, Limit Theorems and Geometric Probability.
(1782 views)
Book cover: Radically Elementary Probability TheoryRadically Elementary Probability Theory
by - Princeton University Press
In this book Nelson develops a new approach to probability theory that is just as powerful as but much simpler than conventional Kolmogorov-style probability theory used throughout mathematics for most of the 20th century.
(12808 views)
Book cover: Almost None of the Theory of Stochastic ProcessesAlmost None of the Theory of Stochastic Processes
by - Carnegie Mellon University
Text for a second course in stochastic processes. It is assumed that you have had a first course on stochastic processes, using elementary probability theory. You will study stochastic processes within the framework of measure-theoretic probability.
(7371 views)