Capasso, Vincenzo.

An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine / [electronic resource] : by Vincenzo Capasso, David Bakstein. - XI, 343p. 13 illus. online resource. - Modeling and Simulation in Science, Engineering and Technology . - Modeling and Simulation in Science, Engineering and Technology .

The Theory of Stochastic Processes -- Fundamentals of Probability -- Stochastic Processes -- The Itô Integral -- Stochastic Differential Equations -- The Applications of Stochastic Processes -- Applications to Finance and Insurance -- Applications to Biology and Medicine.

This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required. Key topics covered include: * Interacting particles and agent-based models: from polymers to ants * Population dynamics: from birth and death processes to epidemics * Financial market models: the non-arbitrage principle * Contingent claim valuation models: the risk-neutral valuation theory * Risk analysis in insurance An Introduction to Continuous-Time Stochastic Processes will be of interest to a broad audience of students, pure and applied mathematicians, and researchers or practitioners in mathematical finance, biomathematics, biotechnology, and engineering. Suitable as a textbook for graduate or advanced undergraduate courses, the work may also be used for self-study or as a reference. Prerequisites include knowledge of calculus and some analysis; exposure to probability would be helpful but not required since the necessary fundamentals of measure and integration are provided.

9780817644284 99780817644284

10.1007/b138900 doi


MATHEMATICS.
BIOLOGY--MATHEMATICS.
FINANCE.
DISTRIBUTION (PROBABILITY THEORY).
ENGINEERING MATHEMATICS.
MATHEMATICS.
PROBABILITY THEORY AND STOCHASTIC PROCESSES.
MATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
APPLICATIONS OF MATHEMATICS.
MATHEMATICAL BIOLOGY IN GENERAL.
QUANTITATIVE FINANCE.
APPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING.

519.2