Marginal and Functional Quantization of Stochastic Processes (Probability Theory and Stochastic Modelling, 105)
by Harald Luschgy, Gilles Pagès
Marginal and Functional Quantization of Stochastic Processes offers a detailed examination of quantization methods for stochastic processes within probability theory and stochastic modelling. Authored by Harald Luschgy and Gilles Pagès, this book in series 105 provides key insights into approximating random phenomena, serving as a vital resource for researchers and students in advanced mathematics.
About This Book
This volume in the Probability Theory and Stochastic Modelling series, number 105, delves into the quantization of stochastic processes from both marginal and functional perspectives.
Authors Harald Luschgy and Gilles Pagès present foundational concepts and methods for quantizing stochastic processes, emphasizing their applications in probability theory.
The work builds on established stochastic modelling techniques to address challenges in approximating and analyzing random processes.
Readers will find a comprehensive treatment suitable for advanced studies in mathematical probability and related fields.
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