Functional data analysis (FDA), which is a branch of statistics on modeling infinite
dimensional random vectors resided in functional spaces, has become a major research …

Functional data analysis (FDA) is a fast-growing area of research and development in
statistics. While most FDA literature imposes the classical L 2 Hilbert structure on function …

This paper mainly analyzes the changing trend of corn price and the factors that affect the
price of corn. Using the data and regression analysis, the univariate nonlinear and …

In this article, which consists of two parts (Part I: representation results; Part II: estimation and
forecasting methods), we set up the theoretical foundations for a high‐dimensional …

Discovering causal relationship using multivariate functional data has received a significant
amount of attention very recently. In this article, we introduce a functional linear structural …

Abstract The United States Air Force (USAF) is struggling to train enough pilots to meet
operational requirements. Technology has advanced rapidly over the last 70 years but …

Crop yield prediction is essential for effective agricultural management. We introduce a
methodology for modeling the relationship between environmental parameters and crop …

We introduce fast multilevel functional principal component analysis (fast MFPCA), which
scales up to high dimensional functional data measured at multiple visits. The new approach …

Covariance estimation is essential yet underdeveloped for analysing multivariate functional
data. We propose a fast covariance estimation method for multivariate sparse functional data …

Multidimensional function data arise from many fields nowadays. The covariance function
plays an important role in the analysis of such increasingly common data. In this article, we …