Trending Bestseller

Surrogates

No reviews yet Write a Review
Paperback / softback
560 Pages
13 December 2021
RRP: $100.99
$100.00
Ships in 2-5 business days

Delivery estimate

Hurry up! Current stock:

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, application to, and illustration with, compelling real-data examples.

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.

You Can Find This Title In

    Product Details
    ISBN-13
    9781032242552
    Author
    Robert B. Gramacy
    Publisher
    CRC Press
    Published
    13 December 2021
    Format
    Paperback / softback
    Pages
    560

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $100.99
    $100.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Surrogates

    RRP: $100.99
    $100.00

    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:

    • 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, application to, and illustration with, compelling real-data examples.

    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.

    You Can Find This Title In

      This Title Is Categorised As