Real and Stochastic Analysis

Current Trends

This book presents the current status and research trends in Stochastic Analysis. Several new and emerging research areas are described in detail, highlighting the present outlook in Stochastic Analysis and its impact on abstract analysis. The book focuses on treating problems in areas that serve as a launching pad for continual research.

Contents:

• Gaussian Measures on Infinite Dimensional Spaces (V I Bogachev)
• Random Fields and Hypergroups (Herbert Heyer)
• A Concise Exposition of Large Deviations (F Hiai)
• Quantum White Noise Calculus and Applications (Un Cig Ji and Nobuaki Obata)
• Weak Radon–Nikodým Derivatives, Dunford–Schwartz Type Integration, and Cramér and Karhunen Processes (Yûichirô Kakihara)
• Entropy, SDE–LDP and Fenchel–Legendre–Orlicz Classes (M M Rao)
• Bispectral Density Estimation in Harmonizable Processes (H Soedjak)

Readership: Graduate students and researchers in Probability and Stochastic Analysis.
Key Features:

• The book covers new developments in Stochastic Analysis
• The research works contain detailed exposition to induce new researchers