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Bayesian Optimization with Application to Computer Experiments

1st Edition 2021, 2021

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Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

Journal of the American Statistical Association, 2008-09, Vol.103 (483), p.1119-1130

2008

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Adaptive Design and Analysis of Supercomputer Experiments

Technometrics, 2009-05, Vol.51 (2), p.130-145

2009

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Cases for the nugget in modeling computer experiments

Statistics and computing, 2012-05, Vol.22 (3), p.713-722

2012

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Bayesian Optimization Via Barrier Functions

Journal of computational and graphical statistics, 2022-01, Vol.31 (1), p.74-83

2022

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The Statistical Filter Approach to Constrained Optimization

Technometrics, 2020-07, Vol.62 (3), p.303-312

2020

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Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

Technometrics, 2016-01, Vol.58 (1), p.1-11

2016

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Selection of a Representative Sample

Journal of classification, 2010-03, Vol.27 (1), p.41-53, Article 41

2010

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Nonstationary multivariate Gaussian processes for electronic health records

Journal of biomedical informatics, 2021-05, Vol.117 (na), p.103698-103698, Article 103698

2021

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A neutral zone classifier for three classes with an application to text mining

Statistical analysis and data mining, 2023-12, Vol.16 (6), p.560-568

2023

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Fast inference for statistical inverse problems

Inverse problems, 2009-08, Vol.25 (8), p.085001-085001 (13)

2009

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Chocolate Chip Cookies as a Teaching Aid

The American statistician, 2007-11, Vol.61 (4), p.351-355

Lee, Herbert K. H

2007

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Inference for a Proton Accelerator Using Convolution Models

Journal of the American Statistical Association, 2008-06, Vol.103 (482), p.604-613

2008

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Optimization Under Constraints by Applying an Asymmetric Entropy Measure

Journal of computational and graphical statistics, 2015-04, Vol.24 (2), p.379-393

2015

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Gaussian Process Modeling of Derivative Curves

Technometrics, 2013-02, Vol.55 (1), p.57-67

2013

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Bayesian nonstationary Gaussian process models via treed process convolutions

Advances in data analysis and classification, 2019-09, Vol.13 (3), p.797-818

2019

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Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup data

Statistical methods in medical research, 2022-12, Vol.31 (12), p.2383-2399

2022

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Real-Time Detection of In-flight Aircraft Damage

Journal of classification, 2017-10, Vol.34 (3), p.494-513

2017

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Multiresolution Genetic Algorithms and Markov chain Monte Carlo

Journal of computational and graphical statistics, 2006-12, Vol.15 (4), p.861-879

2006

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Bayesian Guided Pattern Search for Robust Local Optimization

Technometrics, 2009-11, Vol.51 (4), p.389-401

2009

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Gaussian processes and limiting linear models

Computational statistics & data analysis, 2008-09, Vol.53 (1), p.123-136

2008

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Comment on Article by Page and Quintana

Bayesian analysis, 2016-03, Vol.11 (1)

2016

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Default priors for neural network classification

Journal of classification, 2007-06, Vol.24 (1), p.53-70

LEE, Herbert K. H

2007

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Cases for the nugget in modeling computer experiments

Statistics and computing, 2012-05, Vol.22 (3), p.713-722

2012

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Variable selection via a multi-stage strategy

Journal of applied statistics, 2015-04, Vol.42 (4), p.762-774

2015

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Bayesian Optimization with Application to Computer Experiments

Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

Adaptive Design and Analysis of Supercomputer Experiments

Cases for the nugget in modeling computer experiments

Bayesian Optimization Via Barrier Functions

The Statistical Filter Approach to Constrained Optimization

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

Selection of a Representative Sample

Nonstationary multivariate Gaussian processes for electronic health records

A neutral zone classifier for three classes with an application to text mining

Fast inference for statistical inverse problems

Chocolate Chip Cookies as a Teaching Aid

Inference for a Proton Accelerator Using Convolution Models

Optimization Under Constraints by Applying an Asymmetric Entropy Measure

Gaussian Process Modeling of Derivative Curves

Bayesian nonstationary Gaussian process models via treed process convolutions

Hierarchical continuous-time inhomogeneous hidden Markov model for cancer screening with extensive followup data

Real-Time Detection of In-flight Aircraft Damage

Multiresolution Genetic Algorithms and Markov chain Monte Carlo

Bayesian Guided Pattern Search for Robust Local Optimization

Gaussian processes and limiting linear models

Comment on Article by Page and Quintana

Default priors for neural network classification

Cases for the nugget in modeling computer experiments

Variable selection via a multi-stage strategy

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