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Can I read Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?
Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science) by Robert B. Gramacy (Author) is a nonfiction available to read on EtoBox.
What is Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science) about?
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:Gaussian process (GP) regression for flexible nonparametric and nonlinear modeling.Applications to uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active learning and (blackbox/Bayesian) optimization under uncertainty.Advanced topics include treed partitioning, local GP approximation, modeling of simulation experiments (e.g., agent-based models) with coupled nonlinear mean and variance (heteroskedastic) models.Treatment appreciates historical response surface methodology (RSM) and canonical examples, but emphasizes contemporary methods and implementation in R at modern scale.Rmarkdown facilitates a fully reproducible tour, complete with motivation from,
Who reads Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Robert B. Gramacy (Author)
- Publisher
- Chapman and Hall/CRC
- Published
- 2020
- Language
- EN
- ISBN
- 9781000766523
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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