The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei. - Kirk J. McManus; David A. Stephens; Niall M. Adams; Suhail A. Islam; Paul S. Freemont; Michael J. Hendzel (PLoS Comput. Biol., 2006)

Quantitative Analysis of Cell Nucleus Organisation. - Carol Shiels; Niall M. Adams; Suhail A. Islam; David A. Stephens; Paul S. Freemont (PLoS Comput. Biol., 2007)

On population-based simulation for static inference. - Ajay Jasra; David A. Stephens; Christopher C. Holmes (Stat. Comput., 2007)

Interacting sequential Monte Carlo samplers for trans-dimensional simulation. - Ajay Jasra; Arnaud Doucet; David A. Stephens; Christopher C. Holmes (Comput. Stat. Data Anal., 2008)

Complexity in Systems Level Biology and Genetics: Statistical Perspectives. - David A. Stephens (Encyclopedia of Complexity and Systems Science, 2009)

The Gap Procedure: for the identification of phylogenetic clusters in HIV-1 sequence data. - Irene Vrbik; David A. Stephens; Michel Roger; Bluma Brenner (BMC Bioinform., 2015)

Multidimensional and Longitudinal Indicators in Population Health. - Guido Powell; Yu T. Luo; Aman Verma; David A. Stephens; David L. Buckeridge (AAAI Workshops, 2017)

DM-PhyClus: a Bayesian phylogenetic algorithm for infectious disease transmission cluster inference. - Luc Villandré; Aurélie Labbe; Bluma Brenner; Michel Roger; David A. Stephens (BMC Bioinform., 2018)

Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. - Aman Verma; Guido Powell; Yu Luo 005; David A. Stephens; David L. Buckeridge (CoRR, 2018)

Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models. - Guido Antonio Powell; Aman Verma; Yu T. Luo; David A. Stephens; David L. Buckeridge (MedInfo, 2019)

Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes. - Ayoub El Hanchi; David A. Stephens (NeurIPS, 2020)

Estimating sparse networks with hubs. - Annaliza McGillivray; Abbas Khalili; David A. Stephens (J. Multivar. Anal., 2020)

Stochastic Reweighted Gradient Descent. - Ayoub El Hanchi; David A. Stephens (CoRR, 2021)

Bayesian inference for continuous-time hidden Markov models with an unknown number of states. - Yu Luo 005; David A. Stephens (Stat. Comput., 2021)

Stochastic Reweighted Gradient Descent. - Ayoub El Hanchi; David A. Stephens; Chris J. Maddison (ICML, 2022)

Accelerating Generalized Random Forests with Fixed-Point Trees. - David Fleischer; David A. Stephens; Archer Yang (CoRR, 2023)