eBook
Surrogates : Gaussian Process Modeling, Design, and Optimization for the Applied Sciences
| Title: | Surrogates : Gaussian Process Modeling, Design, and Optimization for the Applied Sciences |
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| Description: | Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are meta-models of computer simulations, used to solve mathematical models that are too intricate to be worked by hand. Gaussian process (GP) regression is a supremely flexible tool for the analysis of computer simulation experiments. This book presents an applied introduction to GP regression for modelling and optimization of computer simulation experiments. Features: • Emphasis on methods, applications, and reproducibility. • R code is integrated throughout for application of the methods. • Includes more than 200 full colour figures. • Includes many exercises to supplement understanding, with separate solutions available from the author. • Supported by a website with full code available to reproduce all methods and examples. The book is primarily designed as a textbook for postgraduate students studying GP regression from mathematics, statistics, computer science, and engineering. Given the breadth of examples, it could also be used by researchers from these fields, as well as from economics, life science, social science, etc. |
| Authors: | Robert B. Gramacy |
| Resource Type: | eBook. |
| Subjects: | Response surfaces (Statistics), Regression analysis--Mathematical models, Gaussian processes--Data processing, Computer simulation, R (Computer program language) |
| Categories: | COMPUTERS / Data Science / Machine Learning, MATHEMATICS / Probability & Statistics / General |
| Database: | eBook Index |
| ISBN: | 9780367415426 9781032242552 9781000766202 9781000766523 9780367815493 |
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