Daniel Apley
Cited by
Cited by
Visualizing the effects of predictor variables in black box supervised learning models
DW Apley, J Zhu
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
MA Bessa, R Bostanabad, Z Liu, A Hu, DW Apley, C Brinson, W Chen, ...
Computer Methods in Applied Mechanics and Engineering 320, 633-667, 2017
Local Gaussian process approximation for large computer experiments
RB Gramacy, DW Apley
Journal of Computational and Graphical Statistics 24 (2), 561-578, 2015
Quantification of model uncertainty: Calibration, model discrepancy, and identifiability
PD Arendt, DW Apley, W Chen
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
R Bostanabad, Y Zhang, X Li, T Kearney, LC Brinson, DW Apley, WK Liu, ...
Progress in Materials Science 95, 1-41, 2018
Understanding the effects of model uncertainty in robust design with computer experiments
DW Apley, J Liu, W Chen
Stochastic microstructure characterization and reconstruction via supervised learning
R Bostanabad, AT Bui, W Xie, DW Apley, W Chen
Acta Materialia 103, 89-102, 2016
Bayesian optimization for materials design with mixed quantitative and qualitative variables
Y Zhang, DW Apley, W Chen
Scientific reports 10 (1), 4924, 2020
A non‐stationary covariance‐based Kriging method for metamodelling in engineering design
Y Xiong, W Chen, D Apley, X Ding
International Journal for Numerical Methods in Engineering 71 (6), 733-756, 2007
Diagnosis of multiple fixture faults in panel assembly
DW Apley, J Shi
A better understanding of model updating strategies in validating engineering models
Y Xiong, W Chen, KL Tsui, DW Apley
Computer methods in applied mechanics and engineering 198 (15-16), 1327-1337, 2009
The GLRT for statistical process control of autocorrelated processes
DW Apley, J Shi
IIE transactions 31 (12), 1123-1134, 1999
Improving identifiability in model calibration using multiple responses
PD Arendt, DW Apley, W Chen, D Lamb, D Gorsich
Adaptive CUSUM procedures with EWMA-based shift estimators
W Jiang, L Shu, DW Apley
Iie Transactions 40 (10), 992-1003, 2008
The Autoregressive T2 Chart for Monitoring Univariate Autocorrelated Processes
DW Apley, F Tsung
Journal of Quality Technology 34 (1), 80-96, 2002
A factor-analysis method for diagnosing variability in mulitvariate manufacturing processes
DW Apley, J Shi
Technometrics 43 (1), 84-95, 2001
A latent variable approach to Gaussian process modeling with qualitative and quantitative factors
Y Zhang, S Tao, W Chen, DW Apley
Technometrics 62 (3), 291-302, 2020
Design of exponentially weighted moving average control charts for autocorrelated processes with model uncertainty
DW Apley, H Cheol Lee
Technometrics 45 (3), 187-198, 2003
Patchwork kriging for large-scale gaussian process regression
C Park, D Apley
The Journal of Machine Learning Research 19 (1), 269-311, 2018
Efficient nested simulation for estimating the variance of a conditional expectation
Y Sun, DW Apley, J Staum
Operations research 59 (4), 998-1007, 2011
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