Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation

DOI10.1214/21-AOAS1521zbMath1498.62298arXiv2010.06515OpenAlexW3093417780MaRDI QIDQ2154181

Yanyan Li

Publication date: 14 July 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.06515

zbMATH Keywords

sensitivity analysisreplicationactive learningagent-based modelinput-dependent noiseGaussian process surrogate modeling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Sequential statistical design (62L05)

Uses Software

• R.matlab
• tgp
• Rmpi
• lhs
• rgenoud

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