Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Ming-Chung Chang
Observed name:
Chang, Ming-Chung
Institutions:
Institute of Statistical Science, Academia Sinica,
Academia Sinica
Observed institutions:
National Central University,
National Tsing Hua University,
Institute of Statistical Science, Academia Sinica,
Academia Sinica,
University of California, Berkeley
ORCID:
0000-0002-8519-2237
Observed ORCID:
0000-0002-8519-2237
OpenAlex ID:
A5035754646
A Unified Framework for Minimum Aberration
2020
·
Ming-Chung Chang
·
Statistica Sinica
·
7
A Bayesian approach to the selection of two-level multi-stratum factorial designs
2018
·
Ming-Chung Chang
, Ching-Shui Cheng
·
The Annals of Statistics
·
7
PDF
Predictive Subdata Selection for Computer Models
2022
·
Ming-Chung Chang
·
Journal of Computational and Graphical Statistics
·
5
Supervised Stratified Subsampling for Predictive Analytics
2024
·
Ming-Chung Chang
·
Journal of Computational and Graphical Statistics
·
4
De-aliasing in two-level factorial designs: A Bayesian approach
2019
·
Ming-Chung Chang
·
Journal of Statistical Planning and Inference
·
4
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures
2025
·
Ming-Chung Chang
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
·
3
Bayesian-inspired minimum contamination designs under a double-pair conditional effect model
2023
·
Ming-Chung Chang
·
Statistical Theory and Related Fields
·
3
Signal aliasing in Gaussian random fields for experiments with qualitative factors
2019
·
Ming-Chung Chang
, Shao-Wei Cheng
, et al.
·
The Annals of Statistics
·
2
PDF
Bootstrap aggregation for regression problems via generalized least squares
2026
·
Chih-Yu Chang
, Ming-Chung Chang
·
Statistics and Computing
·
1
PDF
GEMSS-Driven Subsampling for Information Extraction and Redundancy Elimination
2026
·
Ming-Chung Chang
, Sheng-Zhan Hua
, et al.
·
Figshare
GEMSS-Driven Subsampling for Information Extraction and Redundancy Elimination
2026
·
Ming-Chung Chang
, Sheng-Zhan Hua
, et al.
·
Technometrics
Nearly Optimal Subdata Selection
2026
·
Yang, Min
, Zheng, Wei
, et al.
·
arXiv (Cornell University)
PDF
Supervised Stratified Subsampling for Predictive Analytics
2024
·
Chang, Ming-Chung
·
Figshare
Predictive Subdata Selection for Computer Models
2022
·
Chang, Ming-Chung
·
Figshare
An aberration criterion for conditional models
2019
·
Chang, Ming-Chung
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
15
Citation count:
36
H-index:
4
I10-index:
Year
Topic
Type
