63 citations · 91 across the 7 of their papers we have counts for
7 papers
A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
Aidan Neher, Apostolos Stamenos, Mark Fiecas +2
Integrating high-dimensional, heterogeneous data from multi-site cohort studies with complex hierarchical structures poses significant feature selection and prediction challenges.…
Brain Waves Analysis Via a Non-parametric Bayesian Mixture of Autoregressive Kernels
Guillermo Granados-Garcia, Mark Fiecas, Babak Shahbaba +2
The standard approach to analyzing brain electrical activity is to examine the spectral density function (SDF) and identify predefined frequency bands that have the most substantia…
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…
Spectral Analysis of High-dimensional Time Series
Mark Fiecas, Chenlei Leng, Weidong Liu +1
A useful approach for analysing multiple time series is via characterising their spectral density matrix as the frequency domain analog of the covariance matrix. When the dimension…
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…
The generalized shrinkage estimator for the analysis of functional connectivity of brain signals
Mark Fiecas, Hernando Ombao
We develop a new statistical method for estimating functional connectivity between neurophysiological signals represented by a multivariate time series. We use partial coherence as…