6 papers · 1 filter
Bayesian Gaussian Mixture Modeling for Symmetric Matrix Variate Data
Malcolm Wolff, Adrian Dobra, Anton H. Westveld +1
Statistical inference on individual activity networks has been a historically difficult task due to the lack of available data at the appropriate granularity and the complexity of…
An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
Haoyang Wu, Yen-Chi Chen, Adrian Dobra
Human activity spaces are shaped by individual mobility and the built environment, motivating statistical methods that integrate GPS observations with GIS representations of places…
Estimation of Contextual Exposure to HIV from GPS Data
Haoyang Wu, Zhaoxing Wu, Thulile Mathenjwa +10
We present a comprehensive statistical methodological framework for estimating contextual exposure to HIV that includes local (grid-cell level) estimation of HIV prevalence and hum…
Bayesian Inference for Single-factor Graphical Models
David Marcano, Adrian Dobra
We introduce efficient MCMC algorithms for Bayesian inference for single-factor models with correlated residuals where the residuals' distribution is a Gaussian graphical model. We…
Modeling Human Spatial Mobility Patterns with the Lévy Flight Cluster Model
Malcolm Wolff, Adrian Dobra, Anton H. Westveld +1
Despite the extensive collection of individual mobility data over the past decade, fueled by the widespread use of GPS-enabled personal devices, the existing statistical literature…
A statistical framework for analyzing activity pattern from GPS data
Haoyang Wu, Yen-Chi Chen, Adrian Dobra
We introduce a novel statistical framework for analyzing the GPS data of a single individual. Our approach models daily GPS observations as noisy measurements of an underlying rand…