Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling Series)
Explores stable non-Gaussian random processes and stochastic models with infinite variance, offering key insights for probability theory and advanced mathematical modeling.
About This Book
This book examines stable non-Gaussian random processes and their role in stochastic modeling.
It focuses on processes characterized by infinite variance within probability theory.
The text provides foundational material for researchers working with advanced stochastic models.
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