%%%%%%%%%% Data
@article{thair2021transcriptomic,
  doi ={10.1016/j.isci.2020.101947},
  title={Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections},
  author={Thair, Simone A and He, Yudong D and Hasin-Brumshtein, Yehudit and Sakaram, Suraj and Pandya, Rushika and Toh, Jiaying and Rawling, David and Remmel, Melissa and Coyle, Sabrina and Dalekos, George N and others},
  journal={Iscience},
  volume={24},
  number={1},
  year={2021},
  publisher={Elsevier}
}

@article{smaga2019linear,
  doi = {10.1080/00401706.2018.1456976},
  title={Linear hypothesis testing with functional data},
  author={Smaga, {\L}ukasz and Zhang, Jin-Ting},
  journal={Technometrics},
  volume={61},
  number={1},
  pages={99--110},
  year={2019},
  publisher={Taylor \& Francis}
}

%%%%%%%%%% two-sample problem (OTHERS)
@article{bai1996effect,
  title={Effect of high dimension: by an example of a two sample problem},
  author={Bai, Zhidong and Saranadasa, Hewa},
  journal={Statistica Sinica},
  pages={311--329},
  year={1996},
  url = {https://www.jstor.org/stable/24306018},
  publisher={JSTOR}
}

@article{Chen_2010,
	doi = {10.1214/09-aos716},
	year = 2010,
	month = {apr},
	publisher = {Institute of Mathematical Statistics},
	volume = {38},
	number = {2},
	author = {Song Xi Chen and Ying-Li Qin},
	title = {A two-sample test for high-dimensional data with applications to gene-set testing},
	journal = {The Annals of Statistics}
}

@article{Srivastava_2008,
	doi = {10.1016/j.jmva.2006.11.002},
	year = 2008,
	month = {mar},
	publisher = {Elsevier {BV}},
	volume = {99},
	number = {3},
	pages = {386--402},
	author = {Muni S. Srivastava and Meng Du},
	title = {A test for the mean vector with fewer observations than the dimension},
	journal = {Journal of Multivariate Analysis}
}

@article{Srivastava_2013,
	doi = {10.1016/j.jmva.2012.08.014},
	year = 2013,
	month = {feb},
	publisher = {Elsevier {BV}},
	volume = {114},
	pages = {349--358},
	author = {Muni S. Srivastava and Shota Katayama and Yutaka Kano},
	title = {A two sample test in high dimensional data},
	journal = {Journal of Multivariate Analysis}
}

%%%%%%%%%% GLHT problem (OTHERS)
@article{fujikoshi_2004_asymptotic,
   doi = {10.14490/jjss.34.19},
  title={Asymptotic results of a high dimensional MANOVA test and power comparison when the dimension is large compared to the sample size},
  author={Fujikoshi, Yasunori and Himeno, Tetsuto and Wakaki, Hirofumi},
  journal={Journal of the Japan Statistical Society},
  volume={34},
  number={1},
  pages={19--26},
  year={2004},
  publisher={THE JAPAN STATISTICAL SOCIETY}
}

@article{srivastava2006multivariate,
  doi = {10.1016/j.jmva.2005.08.010},
  title={Multivariate analysis of variance with fewer observations than the dimension},
  author={Srivastava, Muni S and Fujikoshi, Yasunori},
  journal={Journal of Multivariate Analysis},
  volume={97},
  number={9},
  pages={1927--1940},
  year={2006},
  publisher={Elsevier}
}

@article{yamada2012test,
  doi = {10.1080/03610926.2011.581786},
  title={A test for multivariate analysis of variance in high dimension},
  author={Yamada, Takayuki and Srivastava, Muni S},
  journal={Communications in Statistics-Theory and Methods},
  volume={41},
  number={13-14},
  pages={2602--2615},
  year={2012},
  publisher={Taylor \& Francis}
}

@article{schott2007some,
  doi = {10.1016/j.jmva.2006.11.007},
  title={Some high-dimensional tests for a one-way MANOVA},
  author={Schott, James R},
  journal={Journal of Multivariate Analysis},
  volume={98},
  number={9},
  pages={1825--1839},
  year={2007},
  publisher={Elsevier}
}

@article{zhou2017high,
  doi = {10.1016/j.jspi.2017.03.005},
  title={High-dimensional general linear hypothesis testing under heteroscedasticity},
  author={Zhou, Bu and Guo, Jia and Zhang, Jin-Ting},
  journal={Journal of Statistical Planning and Inference},
  volume={188},
  pages={36--54},
  year={2017},
  publisher={Elsevier}
}



%%%%%%%%%% normal-reference approach
@article{zhang2020simple,
  doi = {10.1080/01621459.2019.1604366},
  title={A simple two-sample test in high dimensions based on L 2-norm},
  author={Zhang, Jin-Ting and Guo, Jia and Zhou, Bu and Cheng, Ming-Yen},
  journal={Journal of the American Statistical Association},
  volume={115},
  number={530},
  pages={1011--1027},
  year={2020},
  publisher={Taylor \& Francis}
}

@article{Zhang_2020,
	doi = {10.1016/j.ecosta.2019.12.002},
	year = 2020,
	month = {apr},
	publisher = {Elsevier {BV}},
	volume = {14},
	pages = {131--144},
	author = {Liang Zhang and Tianming Zhu and Jin-Ting Zhang},
	title = {A simple scale-invariant two-sample test for high-dimensional data},
	journal = {Econometrics and Statistics}
}

@article{zhang2022linear,
  title={Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: A normal reference $L^2$-norm based test},
  author={Zhang, Jin-Ting and Zhou, Bu and Guo, Jia},
  journal={Journal of Multivariate Analysis},
  volume={187},
  pages={104816},
  year={2022},
  doi = {10.1016/j.jmva.2021.104816},
  publisher={Elsevier}
}

@article{Zhang_2017,
	doi = {10.1016/j.jmva.2017.01.002},
	year = 2017,
	month = {mar},
	publisher = {Elsevier {BV}},
	volume = {155},
	pages = {200--216},
	author = {Jin-Ting Zhang and Jia Guo and Bu Zhou},
	title = {Linear hypothesis testing in high-dimensional one-way {MANOVA}},
	journal = {Journal of Multivariate Analysis}
}

@article{Zhang_2022heteroscedastic ,
	doi = {10.1016/j.csda.2021.107385},
	year = 2022,
	month = {apr},
	publisher = {Elsevier {BV}},
	volume = {168},
	pages = {107385},
	author = {Jin-Ting Zhang and Tianming Zhu},
	title = {A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way {MANOVA}},
	journal = {Computational Statistics \& Data Analysis}
}


@article{zhu2022two,
  title={Two-sample Behrens--Fisher problems for high-dimensional data: a normal reference F-type test},
  author={Zhu, Tianming and Wang, Pengfei and Zhang, Jin-Ting},
  journal={Computational Statistics},
  pages={1--24},
  year={2023},
  doi={10.1007/s00180-023-01433-6},
  publisher={Springer}
}

@article{Zhu_2023,
	doi = {10.5705/ss.202020.0362},
	year = 2023,
	publisher = {Statistica Sinica (Institute of Statistical Science)},
	author = {Tianming Zhu and Liang Zhang and Jin-Ting Zhang},
	title = {Hypothesis Testing in High-Dimensional Linear Regression: A Normal Reference Scale-Invariant Test},
	journal = {Statistica Sinica}
}

@article{Zhang_2021,
	doi = {10.1016/j.jspi.2020.11.008},
	year = 2021,
	month = {jul},
	publisher = {Elsevier {BV}},
	volume = {213},
	pages = {142--161},
	author = {Jin-Ting Zhang and Bu Zhou and Jia Guo and Tianming Zhu},
	title = {Two-sample Behrens-Fisher problems for high-dimensional data: A normal reference approach},
	journal = {Journal of Statistical Planning and Inference}
}

@article{zhang2023two,
  doi = {10.1080/02664763.2020.1834516},
  title={Two-sample Behrens--Fisher problems for high-dimensional data: a normal reference scale-invariant test},
  author={Zhang, Liang and Zhu, Tianming and Zhang, Jin-Ting},
  journal={Journal of Applied Statistics},
  volume={50},
  number={3},
  pages={456--476},
  year={2023},
  publisher={Taylor \& Francis}
}

@article{zhang2022revisit,
  doi = {10.1080/10485252.2021.2015768},
  title={A revisit to Bai--Saranadasa's two-sample test},
  author={Zhang, Jin-Ting and Zhu, Tianming},
  journal={Journal of Nonparametric Statistics},
  volume={34},
  number={1},
  pages={58--76},
  year={2022},
  publisher={Taylor \& Francis}
}

@article{zhang2022further,
  doi = {10.1007/s42519-021-00232-w},
  title={A further study on Chen-Qin’s test for two-sample Behrens--Fisher problems for high-dimensional data},
  author={Zhang, Jin-Ting and Zhu, Tianming},
  journal={Journal of Statistical Theory and Practice},
  volume={16},
  number={1},
  pages={1},
  year={2022},
  publisher={Springer}
}

@article{zhu2022linear,
  doi = {10.1007/s00180-021-01110-6},
  title={Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach},
  author={Zhu, Tianming and Zhang, Jin-Ting},
  journal={Computational Statistics},
  volume={37},
  number={1},
  pages={1--27},
  year={2022},
  publisher={Springer}
}


@article{li2025test,
  title={Test for high-dimensional linear hypothesis of mean vectors via random integration},
  author={Li, Jianghao and Hong, Shizhe and Niu, Zhenzhen and Bai, Zhidong},
  journal={Statistical Papers},
  volume={66},
  number={1},
  pages={8},
  year={2025},
  publisher={Springer}
}


@article{cao2024scale,
  title={A scale-invariant test for linear hypothesis of means in high dimensions},
  author={Cao, Mingxiang and Cheng, Ziyang and Xu, Kai and He, Daojiang},
  journal={Statistical Papers},
  volume={65},
  number={6},
  pages={3477--3497},
  year={2024},
  publisher={Springer}
}


