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An introduction to general theories of stochastic processes and modern martingale theory.
The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.
Stochastic Analysis and Applications 2025
Measure Theory, Probability, and Stochastic Processes
Introduction to Stochastic Finance
Introduction to Probability and Stochastic Processes with Applications
Recent Developments in Stochastic Numerics and Computational Finance
Martingale Methods in Statistics
Stochastic Processes
Stochastic Processes
Probability with Martingales
Stochastic Processes: Harmonizable Theory
Point Processes and Their Statistical Inference
Stable Non-Gaussian Random Processes
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