Research

Publications

* corresponding author; # student under my supervision

--- Paper(s) to Appear --- 

--- Selected Publications --- 

1. S-H Huang*, Kerby Shedden, and Hsin-wen Chang (2023.09).
   Inference for the dimension of a regression relationship using pseudo-covariates.
   Biometrics,  79(3), 2394--2403.
   [doi.org/10.1111/biom.13812] [Web Appendices] [R code]

2. S-H Huang* and Su-Yun Huang (2021.07).
   On the asymptotic normality and efficiency of Kronecker envelope principal component analysis.
   Journal of Multivariate Analysis, 184, 104761 [11 pages].
   [doi.org/10.1016/j.jmva.2021.104761] 

3. S-H Huang, Hsin-Cheng Huang*, Ruey Tsay, and Guangming Pan (2021.06).
   Testing independence between two spatial random fields.
   Journal of Agricultural, Biological, and Environmental Statistics, 26(2), 161--179.
   [doi.org/10.1007/s13253-020-00421-3]

4. S-H Huang, Mong-Na Lo Huang, and Kerby Shedden* (2021.01).
   Optimal group testing designs for prevalence estimation combining imperfect and gold standard assays.
   Electronic Journal of Statistics, 15(1), 630--649.
   [doi.org/10.1214/20-EJS1786]

5. S-H Huang, Mong-Na Lo Huang*, and Cheng-Wei Lin (2020.05).
   Optimal designs for binary response models with multiple nonnegative variables.
   Journal of Statistical Planning and Inference, 206, 75--83.
   [doi.org/10.1016/j.jspi.2019.09.006]

6. S-H Huang, Mong-Na Lo Huang*, and Kerby Shedden (2020.01).
   Cost considerations for efficient group testing studies.
   Statistica Sinica, 30(1), 285--302.
   [doi.org/10.5705/ss.202017.0408] [Supplementary_Materials]

7. S-H Huang, Mong-Na Lo Huang*, Kerby Shedden, and Weng Kee Wong (2017.11).
   Optimal group testing designs for estimating prevalence with uncertain testing errors.
   Journal of the Royal Statistical Society, Series B, 79(5), 1547--1563.
   [doi.org/10.1111/rssb.12223] 

8. S-H Huang* and Ching-Shui Cheng (2016.08).
   Optimal designs for quadratic regression with random block effects: The case of block size two.
   Journal of Statistical Planning and Inference, 175, 67--77.
   [doi.org/10.1016/j.jspi.2016.02.008]

9. S-H Huang and Mong-Na Lo Huang* (2014.11).
   Robust designs for probability estimation in binary response experiments.
   Journal of Statistical Planning and Inference, 154, 116--132.
   [doi.org/10.1016/j.jspi.2013.12.001]

--- Other Papers / Articles ---

• Chun-Ting Chen#, Wei-Cheng Hsiao, Ming-Chung Chang, and S-H Huang* (2023.12).
  Optimal subsampling algorithms for parameter estimation in logistic regression model.
  Journal of the Chinese Statistical Association, 61(4), 271--293. [in Chinese].

[https://www.stat.org.tw/jcsa/data/vol61/V61N4-3.pdf]

• S-H Huang, Mong-Na Lo Huang, and Kainam Thomas Wong* (2016.10).
  The mathematical paradigm of "copula" to model a faded signal received by multiple sensors.
  The Journal of the Acoustical Society of America, 140(4), 3063--3063 [abstract only].
  [doi.org/10.1121/1.4969537]

• S-H Huang, Mong-Na Lo Huang, Kainam Thomas Wong*, and Tzu-Chiang Tseng (2015.12).
  Copula – to model multi-channel fading by correlated but arbitrary Weibull marginals, giving a closed-form outage probability of selection-combining reception.
  IET Microwaves, Antennas and Propagation, 9(15), 1698--1705.
  [doi.org/10.1049/iet-map.2015.0094]

• S-H Huang* (2014).
  On Some Optimal Design Problems for Binary Response Experiments.
  Ph.D. Dissertation, National Sun Yat-sen University, Kaohsiung.
  [國立中山大學ethesys] [臺灣博碩士論文]

• S-H Huang* (2004).
  Model Robust Designs for Binary Response Experiments.
  M.S. Thesis, National Sun Yat-sen University, Kaohsiung.
  [國立中山大學ethesys] [臺灣博碩士論文]