Area of research
Artificial Intelligence · Economics and Econometrics
Research interest
Research focused on Clutter and Inference, with related work in Cluster analysis, Bayesian probability, Accelerated failure time model. Notable publications include 'Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data', 'Bayesian Estimation of 3D Chromosomal Structure from Single Cell Hi-C Data', and 'Underwater Minefield Detection in Clutter Data Using Spatial Point-Process Models'.
A Comparison of Bayesian Accelerated Failure Time Models with Spatially Varying Coefficients
Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data
Bayesian Estimation of 3D Chromosomal Structure from Single Cell Hi-C Data
GINOM: A statistical framework for assessing interval overlap of multiple genomic features
Underwater Minefield Detection in Clutter Data Using Spatial Point-Process Models
Estimation of linear target-layer trajectories using cluttered point cloud data
Natural and unnatural oil slicks in the <scp>G</scp>ulf of <scp>M</scp>exico
Time-varying coefficient models with ARMA–GARCH structures for longitudinal data analysis