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C. D. Lin

8 papers hereh-index 11447 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • cs.DC1
same name
  • C. D. Lin — 7 papers, h 4
  • C. D. Lin — 4 papers
  • C. D. Lin — 4 papers, h 2
  • C. D. Lin — 4 papers, h 4
  • C. D. Lin — 2 papers, h 7
  • C. D. Lin — 2 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedA New and Flexible Design Construction for Orthogonal Arrays for Modern Applications

2 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.ME2022

EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors

Qian Xiao, Abhyuday Mandal, C. Devon Lin +1

Computer experiments with both quantitative and qualitative (QQ) inputs are commonly used in science and engineering applications. Constructing desirable emulators for such compute…

stat.ME2022

Construction of Marginally Coupled Designs by Subspace Theory

Yuanzhen He, C. Devon Lin, Fasheng SUn

Recent researches on designs for computer experiments with both qualitative and quantitative factors have advocated the use of marginally coupled designs. This paper proposes a gen…

stat.ME2022★ 2 cited

A New and Flexible Design Construction for Orthogonal Arrays for Modern Applications

Yuanzhen He, C. Devon Lin, Fasheng Sun

Orthogonal array, a classical and effective tool for collecting data, has been flourished with its applications in modern computer experiments and engineering statistics. Driven by…

stat.ME2022

Latin Hypercubes and Space-filling Designs

C. Devon Lin, Boxin Tang

This chapter discusses a general design approach to planning computer experiments, which seeks design points that fill a bounded design region as uniformly as possible. Such design…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.