Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences Contributor(s): Gramacy, Robert B. (Author) |
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ISBN: 0367415429 ISBN-13: 9780367415426 Publisher: CRC Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: January 2020 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Regression Analysis - Mathematics | Probability & Statistics - Multivariate Analysis |
Dewey: 519.82 |
LCCN: 2019042570 |
Series: Chapman & Hall/CRC Texts in Statistical Science |
Physical Information: 1.19" H x 7" W x 10" (2.60 lbs) 543 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through simulation, human out-of-the-loop statistical support (focusing on the science), management of dynamic processes, online and real-time analysis, automation, and practical application are at the forefront. Topics include:
Presentation targets numerically competent practitioners in engineering, physical, and biological sciences. Writing is statistical in form, but the subjects are not about statistics. Rather, they're about prediction and synthesis under uncertainty; about visualization and information, design and decision making, computing and clean code. |