223 citations · 435 across the 41 of their papers we have counts for
12 papers · 1 filter
Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models
Luis D. J. Martinez Lomeli, Michelle N. Ngo, Jon Wakefield +2
Infectious disease epidemiologists routinely fit stochastic epidemic models to time series data to elucidate infectious disease dynamics, evaluate interventions, and forecast epide…
A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging
Francesco Denti, Ricardo Azevedo, Chelsie Lo +4
In this paper, we focus on identifying differentially activated brain regions using a light sheet fluorescence microscopy - a recently developed technique for whole-brain imaging.…
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…
Optimal Experimental Design for Mathematical Models of Hematopoiesis
Luis Martinez Lomeli, Abdon Iniguez, Babak Shahbaba +2
The hematopoietic system has a highly regulated and complex structure in which cells are organized to successfully create and maintain new blood cells. Feedback regulation is cruci…
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba +3
Dynamic functional connectivity, as measured by the time-varying covariance of neurological signals, is believed to play an important role in many aspects of cognition. While many…
A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers
Sepehr Akhavan-Masouleh, Alexander Vandenberg-Rodes, Babak Shahbaba +1
We are interested in survival analysis of hemodialysis patients for whom several biomarkers are recorded over time. Motivated by this challenging problem, we propose a general fram…