Scientists to conduct empirical frequency band analysis for functional time series

Pramita Bagchi, Assistant Professor, Statistics, and David M. Straus, Professor, Atmospheric, Oceanic and Earth Sciences (AOES),are set to receive funding from the National Science Foundation for the project: "Collaborative Research: Empirical Frequency Band Analysis for Functional Time Series." 

Bagchi and Straus have three aims for this project: (1) to develop a methodology for local frequency band estimation of a non-stationary functional time series that best preserves non-stationary spectral information localized within the functional domain, (2) to develop a methodology for local frequency band estimation of a multivariate non-stationary functional time series that best preserves the joint non-stationary spectral information among multiple functional time series localized within the functional domain, and (3) to develop a methodology for multivariate frequency band estimation of a non-stationary functional time series that best preserves non-stationary spectral information localized within a multidimensional frequency domain. These methodologies will be applied to investigate the atmospheric storm tracks in the Atlantic and Pacific Ocean basins in order to obtain new insights into their effects on weather. 

 The researchers will receive $250,669 from NSF for this project. Funding will begin in Sept. 2022 and will end in late Aug. 2025.