189 citations · 210 across the 11 of their papers we have counts for
11 papers
HDNRA: An R package for HDLSS location testing with normal-reference approaches
Pengfei Wang, Tianming Zhu, Jin-Ting Zhang
The challenge of location testing for high-dimensional data in statistical inference is notable. Existing literature suggests various methods, many of which impose strong regularit…
General multiple tests for functional data
Merle Munko, Marc Ditzhaus, Markus Pauly +2
While there exists several inferential methods for analyzing functional data in factorial designs, there is a lack of statistical tests that are valid (i) in general designs, (ii)…
A fast and accurate kernel-based independence test with applications to high-dimensional and functional data
Jin-Ting Zhang, Tianming Zhu
Testing the dependency between two random variables is an important inference problem in statistics since many statistical procedures rely on the assumption that the two samples ar…
Two-sample Behrens--Fisher problems for high-dimensional data: a normal reference F-type test
Tianming Zhu, Pengfei Wang, Jin-Ting Zhang
The problem of testing the equality of mean vectors for high-dimensional data has been intensively investigated in the literature. However, most of the existing tests impose strong…
Two-Sample Test for High-Dimensional Covariance Matrices: a normal-reference approach
Jin-Ting Zhang, Jingyi Wang, Tianming Zhu
Testing the equality of the covariance matrices of two high-dimensional samples is a fundamental inference problem in statistics. Several tests have been proposed but they are eith…
Two New Tests for Equality of Several Covariance Functions
Jia Guo, Jin-Ting Zhang
In this paper, we propose two new tests for testing the equality of the covariance functions of several functional populations, namely a quasi GPF test and a quasi test.…
A Supremum-Norm Based Test for the Equality of Several Covariance Functions
Jia Guo, Bu Zhou, Jin-Ting Zhang
In this paper, we propose a new test for the equality of several covariance functions for functional data. Its test statistic is taken as the supremum value of the sum of the squar…
A Further Study of an -norm Based Test for the Equality of Several Covariance Functions
Jia Guo, Jin-Ting Zhang
For the multi-sample equal covariance function (ECF) testing problem, Zhang (2013) proposed an -norm based test. However, its asymptotic power and finite sample performance…
Forward variable selection for sparse ultra-high dimensional varying coefficient models
Ming-Yen Cheng, Toshio Honda, Jin-Ting Zhang
Varying coefficient models have numerous applications in a wide scope of scientific areas. While enjoying nice interpretability, they also allow flexibility in modeling dynamic imp…
A New Test for One-Way ANOVA with Functional Data and Application to Ischemic Heart Screening
Jin-Ting Zhang, Ming-Yen Cheng, Chi-Jen Tseng +1
We propose and study a new global test, namely the -test, for the one-way ANOVA problem in functional data analysis. The test statistic is taken as the maximum value of t…
Statistical inferences for functional data
Jin-Ting Zhang, Jianwei Chen
With modern technology development, functional data are being observed frequently in many scientific fields. A popular method for analyzing such functional data is ``smoothing firs…