From the 1 of 4 linked papers with an AI index.
4 papers
Frequency Selection in Bayesian Spectral Modeling of Time Series Data with Applications to Wearable Device Measurements
Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci
The paper proposes a Bayesian spike-and-slab framework for high‑resolution frequency selection and dimensionality reduction in spectral analysis of univariate and multivariate time…
Bayesian Variable Selection with the Quasi-Posterior
Beniamino Hadj-Amar, Jack Jewson
The Bayesian approach provides powerful methods for variable selection. The ability to incorporate sparsity through prior beliefs and account for parameter uncertainty allows Bayes…
Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data
Beniamino Hadj-Amar, Aaron M. Bornstein, Michele Guindani +1
We propose a flexible Bayesian approach for sparse Gaussian graphical modeling of multivariate time series. We account for temporal correlation in the data by assuming that observa…
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…