Lin, Devon
187  results:
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1

Editorial. Design and Analysis of Experiments for Data Scie..:

Wang, HaiYing ; Deng, Xinwei ; Lin, Devon...
The New England Journal of Statistics in Data Science.  , 2023
 
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2

Adaptive-region sequential design with quantitative and qua..:

Cai, Xia ; Xu, Li ; Lin, C. Devon..
Journal of Quality Technology.  56 (2023)  1 - p. 5-19 , 2023
 
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3

Efficient Experimental Design for Lasso Regression:

, In: Advances and Innovations in Statistics and Data Science; ICSA Book Series in Statistics,
 
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5

EzGP: Easy-to-Interpret Gaussian Process Models for Compute..:

Xiao, Qian ; Mandal, Abhyuday ; Lin, C. Devon.
SIAM/ASA Journal on Uncertainty Quantification.  9 (2021)  2 - p. 333-353 , 2021
 
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6

A Sequential Design Approach for Calibrating Dynamic Comput..:

Zhang, Ru ; Lin, C. Devon ; Ranjan, Pritam
SIAM/ASA Journal on Uncertainty Quantification.  7 (2019)  4 - p. 1245-1274 , 2019
 
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8

Global Fitting of the Response Surface via Estimating Multi..:

Yang, F. ; Lin, C. Devon ; Ranjan, P.
Journal of Statistical Theory and Practice.  14 (2019)  1 - p. , 2019
 
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9

Optimizing two-level orthogonal arrays for simultaneously e..:

Chen, Ping-Yang ; Chen, Ray-Bing ; Lin, C. Devon
Computational Statistics & Data Analysis.  118 (2018)  - p. 84-97 , 2018
 
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10

Local Gaussian Process Model for Large-Scale Dynamic Comput..:

Zhang, Ru ; Lin, C. Devon ; Ranjan, Pritam
Journal of Computational and Graphical Statistics.  27 (2018)  4 - p. 798-807 , 2018
 
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11

Local Gaussian Process Model for Large-Scale Dynamic Comput..:

Zhang, Ru ; Lin, C. Devon ; Ranjan, Pritam
Journal of Computational and Graphical Statistics.  27 (2018)  4 - p. 798-807 , 2018
 
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13

Marginally coupled designs for two-level qualitative factor:

He, Yuanzhen ; Lin, C. Devon ; Sun, Fasheng.
Journal of Statistical Planning and Inference.  187 (2017)  - p. 103-108 , 2017
 
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