Note on Mean Vector Testing for High-Dimensional Dependent Observations
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Junyong Park | Anindya Roy | Deepak Nag Ayyala | Johan Lim | Junyong Park | D. Ayyala | Seonghun Cho | Anindya Roy
[1] Weidong Liu,et al. Two‐sample test of high dimensional means under dependence , 2014 .
[2] Muni S. Srivastava,et al. A two sample test in high dimensional data , 2013, Journal of Multivariate Analysis.
[3] Song-xi Chen,et al. A two-sample test for high-dimensional data with applications to gene-set testing , 2010, 1002.4547.
[4] Z. Bai,et al. EFFECT OF HIGH DIMENSION: BY AN EXAMPLE OF A TWO SAMPLE PROBLEM , 1999 .
[5] M. Srivastava,et al. A test for the mean vector with fewer observations than the dimension , 2008 .
[6] Ron Reeder,et al. Estimation of the mean of functional time series and a two‐sample problem , 2011, 1105.0019.
[7] I. Olkin,et al. Inequalities: Theory of Majorization and Its Applications , 1980 .
[8] H. Robbins,et al. The Central Limit Theorem for Dependent Random Variables , 1948 .
[9] Muni S. Srivastava,et al. A test for the mean vector with fewer observations than the dimension under non-normality , 2009, J. Multivar. Anal..
[10] J. Magnus. The moments of products of quadratic forms in normal variables , 1978 .
[11] Junyong Park,et al. A test for the mean vector in large dimension and small samples , 2013 .
[12] J. Steinebach,et al. Testing for Changes in Multivariate Dependent Observations with an Application to Temperature Changes , 1999 .
[13] Pearlly Yan,et al. Statistical methods for detecting differentially methylated regions based on MethylCap-seq data , 2016, Briefings Bioinform..
[14] A. Dempster. A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST , 1958 .
[15] P. H. Diananda. The central limit theorem for m-dependent variables , 1955, Mathematical Proceedings of the Cambridge Philosophical Society.
[16] Ping-Shou Zhong,et al. Tests alternative to higher criticism for high-dimensional means under sparsity and column-wise dependence , 2013, 1312.5103.
[17] P. Hall,et al. Martingale Limit Theory and its Application. , 1984 .
[18] Andrej Yu. Garnaev,et al. On widths of the Euclidean Ball , 1984 .
[19] Matthew Reimherr,et al. Two sample inference in functional linear models , 2009 .
[20] Joseph P. Romano,et al. A more general central limit theorem for m-dependent random variables with unbounded m , 2000 .
[21] K. Berk. A Central Limit Theorem for $m$-Dependent Random Variables with Unbounded $m$ , 1973 .