default search action
Daniel W. Apley
Person information
- affiliation: Northwestern University, Evanston, IL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j38]Özge Sürer
, Daniel W. Apley, Edward C. Malthouse:
Discovering interpretable structure in longitudinal predictors via coefficient trees. Adv. Data Anal. Classif. 18(4): 911-951 (2024) - [j37]Özge Sürer
Coefficient tree regression: fast, accurate and interpretable predictive modeling. Mach. Learn. 113(7): 4723-4759 (2024) - [i9]Wei Liu, Satyajit Mojumder
Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores. CoRR abs/2404.15207 (2024) - 2023
- [j36]Shengtong Zhang
Interpretable Architecture Neural Networks for Function Visualization. J. Comput. Graph. Stat. 32(4): 1258-1271 (2023) - [j35]Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley:
Fully Bayesian Inference for Latent Variable Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification 11(4): 1357-1381 (2023) - [j34]Kungang Zhang
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. Technometrics 65(2): 137-149 (2023) - [i8]Shengtong Zhang, Daniel W. Apley:
Interpretable Architecture Neural Networks for Function Visualization. CoRR abs/2303.03393 (2023) - 2022
- [j33]Anh Tuan Bui, Daniel W. Apley:
Robust monitoring of stochastic textured surfaces. Int. J. Prod. Res. 60(16): 5071-5086 (2022) - [j32]Anh Tuan Bui, Daniel W. Apley:
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. Technometrics 64(4): 457-474 (2022) - [i7]Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen:
Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR abs/2207.04994 (2022) - [i6]Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley:
Fully Bayesian inference for latent variable Gaussian process models. CoRR abs/2211.02218 (2022) - 2021
- [j31]Özge Sürer
Coefficient tree regression for generalized linear models. Stat. Anal. Data Min. 14(5): 407-429 (2021) - [j30]Ran Yang, David Kent, Daniel W. Apley, Jeremy Staum, David Ruppert:
Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems. ACM Trans. Model. Comput. Simul. 31(4): 22:1-22:36 (2021) - [i5]Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel W. Apley, Ping Zhu, Wei Chen:
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors. CoRR abs/2106.15356 (2021) - 2020
- [j29]Yang Yu
Including a Nugget Effect in Lifted Brownian Covariance Models. SIAM/ASA J. Uncertain. Quantification 8(4): 1338-1357 (2020) - [j28]Daniel W. Apley:
Technometrics 2019 Editor's Report. Technometrics 62(1): 1-5 (2020) - [j27]Yichi Zhang, Siyu Tao
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. Technometrics 62(3): 291-302 (2020) - [i4]Kungang Zhang, Anh Tuan Bui, Daniel W. Apley:
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. CoRR abs/2012.06916 (2020)
2010 – 2019
- 2019
- [j26]Anh Tuan Bui, Daniel W. Apley:
An exploratory analysis approach for understanding variation in stochastic textured surfaces. Comput. Stat. Data Anal. 137: 33-50 (2019) - [j25]Anh Tuan Bui, Joon-Ku Im, Daniel W. Apley, George C. Runger:
Projection-free kernel principal component analysis for denoising. Neurocomputing 357: 163-176 (2019) - [j24]Daniel W. Apley:
Technometrics 2018 Editor's Report. Technometrics 61(1): 2-6 (2019) - [i3]Yichi Zhang, Daniel W. Apley, Wei Chen:
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. CoRR abs/1910.01688 (2019) - 2018
- [j23]Chiwoo Park, Daniel W. Apley:
Patchwork Kriging for Large-scale Gaussian Process Regression. J. Mach. Learn. Res. 19: 7:1-7:43 (2018) - [j22]Anh Tuan Bui, Daniel W. Apley:
A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces. Technometrics 60(1): 1-13 (2018) - [j21]Phillip Howard
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(1): 156-166 (2018) - [i2]Yichi Zhang, Siyu Tao, Wei Chen, Daniel W. Apley:
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. CoRR abs/1806.07504 (2018) - 2017
- [j20]Liwen Ouyang, Daniel W. Apley, Sanjay Mehrotra:
Batch Sample Design from Databases for Logistic Regression. Qual. Reliab. Eng. Int. 33(1): 87-101 (2017) - [j19]Matthew Plumlee
Lifted Brownian Kriging Models. Technometrics 59(2): 165-177 (2017) - [j18]Daniel W. Apley:
Technometrics 2017 Editor's Report. Technometrics 59(4): 413-415 (2017) - [i1]Chiwoo Park, Daniel W. Apley:
Patchwork Kriging for Large-scale Gaussian Process Regression. CoRR abs/1701.06655 (2017) - 2016
- [j17]Liwen Ouyang, Daniel W. Apley, Sanjay Mehrotra:
A design of experiments approach to validation sampling for logistic regression modeling with error-prone medical records. J. Am. Medical Informatics Assoc. 23(e1): e71-e78 (2016) - [j16]Zhenyu Shi, Daniel W. Apley, George C. Runger:
Discovering the Nature of Variation in Nonlinear Profile Data. Technometrics 58(3): 371-382 (2016) - 2014
- [j15]Anshuman Sahu, Daniel W. Apley, George C. Runger:
Feature selection for noisy variation patterns using kernel principal component analysis. Knowl. Based Syst. 72: 37-47 (2014) - 2012
- [j14]Joon-Ku Im, Daniel W. Apley, C. Qi, X. Shan:
A time-dependent proportional hazards survival model for credit risk analysis. J. Oper. Res. Soc. 63(3): 306-321 (2012) - [j13]Daniel W. Apley:
Posterior Distribution Charts: A Bayesian Approach for Graphically Exploring a Process Mean. Technometrics 54(3): 279-293 (2012) - [j12]Joon-Ku Im, Daniel W. Apley, George C. Runger:
Tangent Hyperplane Kernel Principal Component Analysis for Denoising. IEEE Trans. Neural Networks Learn. Syst. 23(4): 644-656 (2012) - 2011
- [j11]Yunpeng Sun, Daniel W. Apley, Jeremy Staum:
Efficient Nested Simulation for Estimating the Variance of a Conditional Expectation. Oper. Res. 59(4): 998-1007 (2011) - [j10]Hyun Cheol Lee, Daniel W. Apley:
Improved design of robust exponentially weighted moving average control charts for autocorrelated processes. Qual. Reliab. Eng. Int. 27(3): 337-352 (2011) - [c2]Anshuman Sahu, George C. Runger, Daniel W. Apley:
Image denoising with a multi-phase kernel principal component approach and an ensemble version. AIPR 2011: 1-7 - 2010
- [j9]Daniel W. Apley:
Comment. Technometrics 52(3): 277-280 (2010)
2000 – 2009
- 2008
- [j8]Xuemei Shan, Daniel W. Apley:
Blind Identification of Manufacturing Variation Patterns by Combining Source Separation Criteria. Technometrics 50(3): 332-343 (2008) - 2006
- [j7]Chang-Ho Chin
Optimal Design of Second-Order Linear Filters for Control Charting. Technometrics 48(3): 337-348 (2006) - 2005
- [j6]Daniel W. Apley, Yu Ding:
A characterization of diagnosability conditions for variance components analysis in assembly operations. IEEE Trans Autom. Sci. Eng. 2(2): 101-110 (2005) - 2004
- [j5]Daniel W. Apley, Jeong-Bae Kim:
Cautious Control of Industrial Process Variability With Uncertain Input and Disturbance Model Parameters. Technometrics 46(2): 188-199 (2004) - 2003
- [j4]Daniel W. Apley, Hyun Cheol Lee:
Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty. Technometrics 45(3): 187-198 (2003) - [j3]Daniel W. Apley, Ho-Young Lee:
Identifying Spatial Variation Patterns in Multivariate Manufacturing Processes - A Blind Separation Approach. Technometrics 45(3): 220-234 (2003) - [c1]Feng Zhang, Daniel W. Apley:
MLPCA Based Logistical Regression Analysis for Pattern Clustering in Manufacturing Processes. IDEAL 2003: 898-902 - 2001
- [j2]Daniel W. Apley, Jianjun Shi
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes. Technometrics 43(1): 84-95 (2001)
1990 – 1999
- 1999
- [j1]Daniel W. Apley, Jianjun Shi
An order downdating algorithm for tracking system order and parameters in recursive least squares identification. IEEE Trans. Signal Process. 47(11): 3134-3137 (1999)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: