BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data

Karine Tung, Steven De La Torre, Mohamed El Mistiri, Rebecca Braga De Braganca, Eric B. Hekler, Misha Pavel, Daniel E. Rivera, Pedja Klasnja, Donna Spruijt-Metz, Benjamin M. Marlin. BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. In IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022, Arlington, VA, USA, November 17-19, 2022. pages 78-90, IEEE, 2022. [doi]

@inproceedings{TungTMBHPRKSM22,
  title = {BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data},
  author = {Karine Tung and Steven De La Torre and Mohamed El Mistiri and Rebecca Braga De Braganca and Eric B. Hekler and Misha Pavel and Daniel E. Rivera and Pedja Klasnja and Donna Spruijt-Metz and Benjamin M. Marlin},
  year = {2022},
  url = {https://ieeexplore.ieee.org/document/9983643},
  researchr = {https://researchr.org/publication/TungTMBHPRKSM22},
  cites = {0},
  citedby = {0},
  pages = {78-90},
  booktitle = {IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022, Arlington, VA, USA, November 17-19, 2022},
  publisher = {IEEE},
  isbn = {978-1-4503-9476-5},
}