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Springer Limit Theorems for Stochastic Processes - Springer Mathematics

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Description

This Grundlehren der mathematischen Wissenschaften volume 288 presents a systematic exposition of convergence in law for stochastic processes from the perspective of semimartingale theory. Written by two international leaders in the field, the book bridges the historically separate theories of convergence in law and martingales, semimartingales and stochastic integrals. The authors emphasise results with practical applications, moving beyond the traditional treatment of diffusion processes to provide a comprehensive framework for understanding limit theorems in modern probability theory. This rigorous mathematical text serves as an essential reference for researchers and advanced students working in stochastic analysis, mathematical finance and applied probability.

Key Features

Limit Theorems for Stochastic Processes covers convergence in law from the semimartingale perspective, bridging classical and modern probability theory frameworks.

This Springer Grundlehren volume 288 is authored by two internationally recognised leaders who integrate martingale theory with stochastic process convergence.

The book provides new, mint condition copies dispatched same day for orders received before 12 noon, ensuring prompt delivery.

All copies come with guaranteed protective packaging and a no quibbles returns policy for complete purchase confidence.

Essential reference material for advanced mathematics students and researchers specialising in stochastic analysis and applied probability.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 October 2002
Listed Since
12 February 2007

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