Description: Bayesian Optimization with Application to Computer Experiments by Tony Pourmohamad, Herbert K.H. Lee Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. Publisher Description This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field.This will be a useful companion to researchers and practitioners workingwith computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning. Author Biography Tony Pourmohamad is a principal statistical scientist in the Department of Biostatistics at Genentech. Prior to joining Genentech, he received his Ph.D. from the Department of Statistics and Applied Mathematics at the University of California, Santa Cruz, where his research focused on constrained optimization for computer experiments. Nowadays, he spends most of his time at the intersection of clinical and nonclinical statistics at Genentech.Herbert Lee is Professor of Statistics in the Baskin School of Engineering at the University of California, Santa Cruz. He currently also serves as Vice Provost for Academic Affairs. He received his Ph.D. from the Department of Statistics at Carnegie Mellon University and completed a postdoc at Duke University. His research interests include Bayesian statistics, computer simulation experiments, inverse problems, and spatial statistics. Details ISBN 3030824578 ISBN-13 9783030824570 Title Bayesian Optimization with Application to Computer Experiments Author Tony Pourmohamad, Herbert K.H. Lee Format Paperback Year 2021 Pages 104 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:140278667; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 82.78 USD
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End Time: 2025-02-07T03:05:49.000Z
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ISBN-13: 9783030824570
Book Title: Bayesian Optimization with Application to Computer Experiments
Number of Pages: X, 104 Pages
Language: English
Publication Name: Bayesian Optimization with Application to Computer Experiments
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Probability & Statistics / Bayesian Analysis
Publication Year: 2021
Type: Textbook
Item Weight: 6.7 Oz
Author: Tony Pourmohamad, Herbert Lee
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Series: Springerbriefs in Statistics Ser.
Item Width: 6.1 in
Format: Trade Paperback
