
Focusing on mathematical ideas rather than proofs, this book provides access to important fundamentals of stochastic processes. This second edition features additional material on stochastic integration, with expanded discussion of Girsanov transformation, an introduction to...

This concise, informal introduction to stochastic processes evolving with time was designed to meet the needs of graduate students not only in mathematics and statistics, but in the many fields in which the concepts presented are important, including computer science, economics,...

This text balances accessibility and rigor in teaching stochastic calculus to advanced undergraduate and graduate students in mathematics, economics, and finance. Avoiding the measure-theoretic formalism, the author presents the material in a natural order and keeps technical...