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Backward Stochastic Volterra Integral Equations.

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Wang, Tianxiao.
Series:
Probability Theory and Stochastic Modelling Series
Probability Theory and Stochastic Modelling Series ; v.109
Language:
English
Physical Description:
1 online resource (945 pages)
Edition:
1st ed.
Place of Publication:
Cham : Springer, 2026.
Summary:
Backward Stochastic Volterra Integral Equations (BSVIEs) have evolved into one of the most powerful and flexible mathematical frameworks for modeling systems with memory, time‑inconsistency, nonlinear dynamics, and path‑dependent uncertainty.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783032208484

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