Daniel W. Apley

Affiliations: 
2003 Texas A & M University, College Station, TX, United States 
 2003- Industrial Engineering and Management Sciences Northwestern University, Evanston, IL 
Area:
Industrial Engineering, Statistics
Website:
http://users.iems.northwestern.edu/~apley/
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"Daniel Apley"
Bio:

http://hdl.handle.net/2027.42/130424

Parents

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

Children

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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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Publications

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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
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
Chen S, Jiang Z, Yang S, et al. (2016) Nonhierarchical multi-model fusion using spatial random processes International Journal For Numerical Methods in Engineering. 106: 503-526
Ouyang L, Apley DW, Mehrotra S. (2015) A design of experiments approach to validation sampling for logistic regression modeling with error-prone medical records. Journal of the American Medical Informatics Association : Jamia
Jiang Z, Apley DW, Chen W. (2015) Surrogate preposterior analyses for predicting and enhancing identifiability in model calibration International Journal For Uncertainty Quantification. 5: 341-359
Jiang Z, Li W, Apley DW, et al. (2015) A Spatial-Random-Process Based Multidisciplinary System Uncertainty Propagation Approach With Model Uncertainty Journal of Mechanical Design, Transactions of the Asme. 137
Gramacy RB, Apley DW. (2015) Local Gaussian Process Approximation for Large Computer Experiments Journal of Computational and Graphical Statistics. 24: 561-578
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