Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science) - Tapa dura

Libro 101 de 139: Chapman & Hall/CRC Texts in Statistical Science

Gramacy, Robert B.

 
9780367415426: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science)
Tapa dura
ISBN 10: 0367415429 ISBN 13: 9780367415426
Editorial: Chapman and Hall/CRC, 2020

Sinopsis

Surrogates is a graduate textbook, on topics at the interface between machine learning,spatial statistics,computer simulation,meta-modeling,design of experiments,and optimization. Experimentation through simulation,management of dynamic processes,online and real-time analysis,automation and practical application are at the forefront.

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Acerca del autor

Robert B. Gramacy is a professor of Statistics in the College of Science at Virginia Tech. Research interests include Bayesian modeling methodology, statistical computing, Monte Carlo inference, nonparametric regression, sequential design, and optimization under uncertainty. Bobby enjoys cycling and ice hockey, and watching his kids grow up too fast.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367415429
ISBN 13 
9780367415426
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
560
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781032242552: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science)

Edición Destacada

ISBN 10:  1032242558 ISBN 13:  9781032242552
Editorial: Routledge, 2021
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