189 citations · 210 across the 11 of their papers we have counts for
5 papers · 1 filter
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 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…
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…