Rituparna Sen

Detection of Structural Distortions in Functional Time Series

This paper addresses the problem of detecting structural shifts in a functional time series from a Bayesian perspective by developing various novel methodologies that capture the inherent structural distortion in a sequence of random functions, both individually and simultaneously.