22 citations · 23 across the 8 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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 Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity
Beniamino Hadj-Amar, Jack Jewson, Mark Fiecas
We propose a Bayesian hidden Markov model for analyzing time series and sequential data where a special structure of the transition probability matrix is embedded to model explicit…
Identifying the Recurrence of Sleep Apnea Using a Harmonic Hidden Markov Model
Beniamino Hadj-Amar, Bärbel Finkenstädt, Mark Fiecas +1
We propose to model time-varying periodic and oscillatory processes by means of a hidden Markov model where the states are defined through the spectral properties of a periodic reg…
Bayesian Model Search for Nonstationary Periodic Time Series
Beniamino Hadj-Amar, Bärbel Finkenstädt, Mark Fiecas +2
We propose a novel Bayesian methodology for analyzing nonstationary time series that exhibit oscillatory behaviour. We approximate the time series using a piecewise oscillatory mod…