Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science)
A detailed resource on Gaussian process modeling, design, and optimization, providing theory and methods for applied sciences and statistical applications.
About This Book
This book presents Gaussian process methods for modeling, experimental design, and optimization in applied sciences.
It covers theory and practical implementation for researchers and practitioners working with statistical models.
Topics include surrogate modeling, uncertainty quantification, and Bayesian optimization techniques.
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