5 citations · 11 across the 7 of their papers we have counts for
8 papers
Frequency Band Analysis of Nonstationary Multivariate Time Series
Raanju R. Sundararajan, Scott A. Bruce
Information from frequency bands in biomedical time series provides useful summaries of the observed signal. Many existing methods consider summaries of the time series obtained ov…
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra
Dixon Vimalajeewa, Scott Alan Bruce, Brani Vidakovic
Accurate and efficient detection of ovarian cancer at early stages is critical to ensure proper treatments for patients. Among the first-line modalities investigated in studies of…
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis
Yakun Wang, Zeda Li, Scott A. Bruce
This article introduces a flexible and adaptive nonparametric method for estimating the association between multiple covariates and power spectra of multiple time series. The propo…
Adaptive Frequency Band Analysis for Functional Time Series
Pramita Bagchi, Scott A. Bruce
The frequency-domain properties of nonstationary functional time series often contain valuable information. These properties are characterized through its time-varying power spectr…
Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings
Zeda Li, Scott A. Bruce, Tian Cai
This article introduces a novel approach to the classification of categorical time series under the supervised learning paradigm. To construct meaningful features for categorical t…
Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Scott A. Bruce, Martica H. Hall, Daniel J. Buysse +1
Many studies of biomedical time series signals aim to measure the association between frequency-domain properties of time series and clinical and behavioral covariates. However, th…
A Scalable Framework for NBA Player and Team Comparisons Using Player Tracking Data
Scott Bruce
The release of NBA player tracking data greatly enhances the granularity and dimensionality of basketball statistics used to evaluate and compare player performance. However, the h…
Nonparametric Distributed Learning Architecture for Big Data: Algorithm and Applications
Scott Bruce, Zeda Li, Hsiang-Chieh Yang +1
Dramatic increases in the size and complexity of modern datasets have made traditional "centralized" statistical inference prohibitive. In addition to computational challenges asso…