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stat.ME2025
Stochastic Volatility under Informative Missingness
Gehui Zhang, Gong Tang, Lori Scott +1
Stochastic volatility models that treat the variance of a time series as a stochastic process have proven to be important tools for analyzing dynamic variability. Current methods f…
stat.ME2016
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…
stat.ME2015★ 22 cited
Discriminant Analysis of Time Series in the Presence of Within-Group Spectral Variability
Robert T. Krafty
Many studies record replicated time series epochs from different groups with the goal of using frequency domain properties to discriminate between the groups. In many applications,…