T
Tailen Hsing
Researcher at University of Michigan
Publications - 24
Citations - 1579
Tailen Hsing is an academic researcher from University of Michigan. The author has contributed to research in topics: Nonparametric statistics & Covariance. The author has an hindex of 10, co-authored 24 publications receiving 1295 citations. Previous affiliations of Tailen Hsing include Seoul National University.
Papers
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BookDOI
Theoretical foundations of functional data analysis, with an introduction to linear operators
Tailen Hsing,R. L. Eubank +1 more
TL;DR: Analysis of Functional Data provides an authoritative account of function data analysis covering its foundations, theory, methodology, and practical implementation and contains examples taken from a wide range of disciplines.
Journal ArticleDOI
Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
Yehua Li,Tailen Hsing +1 more
TL;DR: In this paper, the authors consider nonparametric estimation of the mean and covariance functions for functional/longitudinal data and derive almost sure rates of convergence for principal component analysis using the estimated covariance function.
Journal ArticleDOI
On Tail Index Estimation Using Dependent Data
TL;DR: In this article, it was shown that Hill's estimator is consistent in the i.i.d. setting and is asymptotically normally distributed in the independent setting.
Journal ArticleDOI
An Asymptotic Theory for Sliced Inverse Regression
Tailen Hsing,Raymond J. Carroll +1 more
TL;DR: In this article, the authors consider the asymptotic properties of the two-slice method, obtaining simple conditions for convergence and asyptotic normality for sums of conditionally independent random variables.
Journal ArticleDOI
Extremal Index Estimation for a Weakly Dependent Stationary Sequence
TL;DR: In this paper, an adaptive procedure is proposed for estimating the extremal index, which is shown to be asymptotically optimal in a class of estimators, under stationarity and weak dependence.