Bayesian Optimization with Application to Computer Experiments

Häftad, Engelska, 2021

Del i serien SpringerBriefs in Statistics

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Beskrivning

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments.

Produktinformation

Utgivningsdatum:2021-10-05
Mått:155 x 235 x 10 mm
Vikt:200 g
Format:Häftad
Språk:Engelska
Serie:SpringerBriefs in Statistics
Antal sidor:104
Förlag:Springer Nature Switzerland AG
ISBN:9783030824570

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

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.