Weak convergence in the functional autoregressive model

@inproceedings{Mas2005WeakCI,
  title={Weak convergence in the functional autoregressive model},
  author={Andr{\'e} Mas},
  year={2005}
}
The functional autoregressive model is a Markov model taylored for data of functional nature. It revealed fruitful when attempting to model samples of dependent random curves and has been widely studied along the past few years. This article aims at completing the theoretical study of the model by adressing the crucial issue of weak convergence for estimates from the model. The main difficulties stem from an underlying inverse problem as well as from dependence between the data. Traditional… CONTINUE READING