With the advance of modern technology, more and more data are being recorded
continuously during a time interval or intermittently at several discrete time points. These are …

Recent advances in functional data analysis and high-dimensional statistics - ScienceDirect
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An introduction to recent advances in high/infinite dimensional statistics - ScienceDirect Skip
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A false positive is the mistake of inferring an effect when none exists, and although α
controls the false positive (Type I error) rate in classical hypothesis testing, a given α value is …

Nonparametric functional data analysis is a field whose development started some 15 years
ago and there is a very extensive literature on the topic (hundreds of papers published now) …

Detecting the targets of drugs and other molecules in intact cellular contexts is a major
objective in drug discovery and in biology more broadly. Thermal proteome profiling (TPP) …

Business entities strive for continuous adaptation to changing situations and needs. The
decisions of business entities entangled in multifaceted processes of economic, social, and …

In this paper, we propose and study a new global test, namely, GPF test, for the one‐way
anova problem for functional data, obtained via globalizing the usual pointwise F‐test. The …

This paper aims to present the various contributions to the Special Issue of the Journal of
Multivariate Analysis on Functional Data Analysis and some related topics including High …

In this paper, some new tests based on the idea of the B-spline test (Shen and Faraway in
Stat Sin 14: 1239–1257, 2004) for the one-way ANOVA problem for functional data are …