Probability Theory and Stochastic Processes with Applications

This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of probability theory. It starts on a fast track with the treatment of probability theory and stochastic processes by providing short proofs. The last chapter is unique as it features a wide range of applications in other fields like Vlasov dynamics of fluids, statistics of circular data, singular continuous random variables, Diophantine equations, percolation theory, random Schrödinger operators, spectral graph theory, integral geometry, computer vision, and processes with high risk.

Many of these areas are under active investigation and this volume is highly suited for ambitious undergraduate students, graduate students and researchers.

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• Introduction
• Limit Theorems
• Discrete Stochastic Processes
• Continuous Stochastic Processes
• Selected Topics