Herbert K. H. Lee

According to our database1, Herbert K. H. Lee authored at least 24 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
The Statistical Filter Approach to Constrained Optimization.
Technometrics, 2020

2019
Bayesian nonstationary Gaussian process models via treed process convolutions.
Adv. Data Anal. Classif., 2019

2017
Real-Time Detection of In-flight Aircraft Damage.
J. Classif., 2017

2016
Rejoinder.
Technometrics, 2016

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization.
Technometrics, 2016

2013
Gaussian Process Modeling of Derivative Curves.
Technometrics, 2013

2012
Comment.
Technometrics, 2012

Cases for the nugget in modeling computer experiments.
Stat. Comput., 2012

Simultaneous optimization and uncertainty quantification.
J. Comput. Methods Sci. Eng., 2012

Towards Validation of an Adaptive Flight Control Simulation Using Statistical Emulation.
Proceedings of the Infotech@Aerospace 2012, 2012

2011
Gaussian Processes.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2010
Selection of a Representative Sample.
J. Classif., 2010

2009
Bayesian Guided Pattern Search for Robust Local Optimization.
Technometrics, 2009

Adaptive Design and Analysis of Supercomputer Experiments.
Technometrics, 2009

2008
Gaussian processes and limiting linear models.
Comput. Stat. Data Anal., 2008

2007
Default Priors for Neural Network Classification.
J. Classif., 2007

2004
Lossless Online Bayesian Bagging.
J. Mach. Learn. Res., 2004

Parameter space exploration with Gaussian process trees.
Proceedings of the Machine Learning, 2004

Bayesian nonparametrics via neural networks.
ASA-SIAM series on statistics and applied probability 13, SIAM, ISBN: 978-0-89871-563-7, 2004

2003
A Noninformative Prior for Neural Networks.
Mach. Learn., 2003

2002
A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information.
IEEE Trans. Signal Process., 2002

Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media.
Technometrics, 2002

2001
Model Selection for Neural Network Classification.
J. Classif., 2001

2000
Consistency of posterior distributions for neural networks.
Neural Networks, 2000


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