David A. Stephens
Orcid: 0000-0001-9811-7140
According to our database1,
David A. Stephens
authored at least 16 papers
between 2006 and 2023.
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Bibliography
2023
2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Bayesian inference for continuous-time hidden Markov models with an unknown number of states.
Stat. Comput., 2021
2020
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models.
CoRR, 2018
DM-PhyClus: a Bayesian phylogenetic algorithm for infectious disease transmission cluster inference.
BMC Bioinform., 2018
2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2015
The Gap Procedure: for the identification of phylogenetic clusters in HIV-1 sequence data.
BMC Bioinform., 2015
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
2008
Comput. Stat. Data Anal., 2008
2007
2006
The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei.
PLoS Comput. Biol., 2006