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 time series (FTS) analysis has emerged as a potent framework for modeling and
forecasting time‐dependent data with functional attributes. In this comprehensive review, we …

We introduce methods and theory for functional or curve time series with long-range
dependence. The temporal sum of the curve process is shown to be asymptotically normally …

Age-specific mortality rates are often disaggregated by different attributes, such as sex, state,
and ethnicity. Forecasting age-specific mortality rates at the national and sub-national levels …

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 …

We investigate a class of partially linear functional additive models (PLFAM) that predicts a
scalar response by both parametric effects of a multivariate predictor and nonparametric …

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 …

We develop a fully Bayesian framework for function-on-scalars regression with many
predictors. The functional data response is modeled nonparametrically using unknown basis …

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 …