Meeting Calendar
Our youtube channel: https://www.youtube.com/@JohnsHopkinsSLAM
11/8/2024
Time: Friday 1:30-2:45pm
Place: Genome Cafe, Room E3609
Light lunch provided
zoom link: https://jh.zoom.us/j/93026319590
Title: Efficient Algorithm for Frequency-Domain Dimension Reduction of Functional Time Series via Adaptive Frequency Band Learning
Speaker: Pramita Bagchi, Assistant Professor, George Washington University
Abstract:
The frequency-domain properties of nonstationary functional time series often contain valuable information. These properties are characterized through its time-varying spectral density. Practitioners seeking low-dimensional summary measures of the spectral density often partition 15 frequencies into bands and create collapsed measures of power within bands. However, standard frequency bands have largely been developed through manual inspection of time series data and may not adequately summarize spectral densities across different settings. In this article, we propose a framework for learning frequency band structures for nonstationary functional time series that optimally summarize time-varying dynamics. We develop a scan statistic and search 20 algorithm to detect changes in the frequency domain for adaptive frequency band estimation. We establish theoretical properties of this framework and develop a computationally-efficient implementation. The validity of our method is also justified through numerous simulation studies and an application to analyzing electroencephalogram data in participants alternating between eyes open and eyes closed conditions.
Upcoming events
11/22/2024
Martin Slawski, Associate Professor, University of Virginia
12/6/2024
Jong-Hyeon Jeong, Mathematical Statistician, NIH/NCI
2/21/2025
Tianchen Qian, Department of Statistics, University of California at Irvine
3/7/2025
Jiwei Zhao, University of Wisconsin
Other invited speakers:
Shouhao Zhou (Penn State): in-person, open dates
Krithika Suresh (U of Mich): virtual, winter/spring 2025
Andrea Arfe (Memorial Sloan Kettering): in-person, open dates