1 citations · 1 across the 3 of their papers we have counts for
4 papers
P3LS: Point Process Partial Least Squares
Jamshid Namdari, Robert T Krafty, Amita Manatunga
Many studies collect data that can be considered as a realization of a point process. Included are medical imaging data where photon counts are recorded by a gamma camera from pati…
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain
Jamshid Namdari, Amita Manatunga, Fabio Ferrarelli +1
Principal component analysis has been a main tool in multivariate analysis for estimating a low dimensional linear subspace that explains most of the variability in the data. Howev…
Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
Zeda Li, Ori Rosen, Fabio Ferrarelli +1
This article introduces a nonparametric approach to spectral analysis of a high-dimensional multivariate nonstationary time series. The procedure is based on a novel frequency-doma…
Adaptive Bayesian Power Spectrum Analysis of Multivariate Nonstationary Time Series
Zeda Li, Robert T. Krafty
This article introduces a nonparametric approach to multivariate time-varying power spectrum analysis. The procedure adaptively partitions a time series into an unknown number of a…