Daniel W. Apley

2003 Texas A & M University, College Station, TX, United States 
 2003- Industrial Engineering and Management Sciences Northwestern University, Evanston, IL 
Industrial Engineering, Statistics
"Daniel Apley"



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Jianjun Shi grad student 1997 University of Michigan
 (Supervisory adaptive control: Monitoring, diagnostics and model uncertainty.)


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Jeongbae Kim grad student 2002 Texas A & M
Ho-Young Lee grad student 2003 Texas A & M
Chang-Ho Chin grad student 2004 Texas A & M
Hyun-Cheol Lee grad student 2004 Texas A & M
Feng Zhang grad student 2004 Texas A & M
Xuemei Shan grad student 2010 Northwestern
Paul Arendt grad student 2012 Northwestern
Joon-Ku Im grad student 2012 Northwestern
Ning Zhang grad student 2013 Northwestern
Zhen Jiang grad student 2015 Northwestern
Edwin Shi grad student 2015 Northwestern
Liwen Ouyang grad student 2016 Northwestern
Ran Yang grad student 2018 Northwestern
Ramin Bostanabad grad student 2019 Northwestern
Anh Bui grad student 2019 Northwestern
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Zhang Y, Apley DW, Chen W. (2020) Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. Scientific Reports. 10: 4924
Apley DW, Zhu J. (2020) Visualizing the effects of predictor variables in black box supervised learning models Journal of the Royal Statistical Society Series B-Statistical Methodology. 82: 1059-1086
Zhang Y, Tao S, Chen W, et al. (2020) A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors Technometrics. 62: 291-302
Lu J, Tang J, Apley DW, et al. (2020) A mode tracking method in modal metamodeling for structures with clustered eigenvalues Computer Methods in Applied Mechanics and Engineering. 369: 113174
Bostanabad R, Chen W, Apley DW. (2016) Characterization and reconstruction of 3D stochastic microstructures via supervised learning. Journal of Microscopy
Steckley SG, Henderson SG, Ruppert D, et al. (2016) Estimating the density of a conditional expectation Electronic Journal of Statistics. 10: 736-760
Ouyang L, Apley DW, Mehrotra S. (2016) Designed sampling from large databases for controlled trials Iie Transactions (Institute of Industrial Engineers). 1-11
Arendt PD, Apley DW, Chen W. (2016) A preposterior analysis to predict identifiability in the experimental calibration of computer models Iie Transactions (Institute of Industrial Engineers). 48: 75-88
Bostanabad R, Bui AT, Xie W, et al. (2016) Stochastic microstructure characterization and reconstruction via supervised learning Acta Materialia. 103: 89-102
Ouyang L, Apley DW, Mehrotra S. (2016) Batch Sample Design from Databases for Logistic Regression Quality and Reliability Engineering International
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