22 citations · 23 across the 8 of their papers we have counts for
8 papers
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 Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation
Beniamino Hadj-Amar, Jack Jewson, Marina Vannucci
We propose a sparse vector autoregressive (VAR) hidden semi-Markov model (HSMM) for modeling temporal and contemporaneous (e.g. spatial) dependencies in multivariate nonstationary…
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…