Modelling Function-Valued Stochastic Processes, with Applications to Fertility Dynamics
Modelling Function-Valued Stochastic Processes, with Applications to Fertility Dynamics
Summary We introduce a simple and interpretable model for functional data analysis for situations where the observations at each location are functional rather than scalar. This new approach is based on a tensor product representation of the function-valued process and utilizes eigenfunctions of marginal kernels. The resulting marginal principal components …