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stat.ME2026
Frequency Selection in Bayesian Spectral Modeling of Time Series Data with Applications to Wearable Device Measurements
Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci
This paper introduces a Bayesian spike-and-slab framework for spectral analysis of time series data. The proposed method combines frequency selection and dimensionality reduction w…
stat.ME2025
Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms
Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci
We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected via wrist-worn wearable devices. The proposed approach integrates cova…
stat.ME2023
Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease
Rongke Lyu, Marina Vannucci, Suprateek Kundu
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to their appealing properties such as dimension reduction and the…