@article{landry2024mmcr,title={Modeling EEG spectral features through warped functional mixed membership models },author={Landry, E. and Şentürk, D. and Jeste, S. and DiStefano, C. and Dickinson, A. and Telesca, D.},year={2024},journal={arXiv preprint arXiv:2412.08762},}
@article{bargaglistoffi25,title={Transporting predictions via double machine learning: predicting partially unobserved students' outcomes
},author={Bargagli-Stoffi, F. and Landry, E. and Josey, K.P. and De Beckker, K. and E., Maldonado J. and K., De Witte},year={2025},journal={arXiv preprint arXiv:2412.08762},}
prep
Bayesian regression in the Wasserstein space for density-valued data
Landry, E., Şentürk, D., Jeste, S. and 3 more authors
@article{landry2025draft1,title={Bayesian regression in the Wasserstein space for density-valued data},author={Landry, E. and Şentürk, D. and Jeste, S. and DiStefano, C. and Dickinson, A. and Telesca, D.},year={2025},journal={In preparation},}
prep
Transporting predictions via double Bayesian machine learning
@article{landry2025draft2,title={Transporting predictions via double Bayesian machine learning},author={Landry, E. and Telesca, D. and Bargagli-Stoffi, F.},year={2025},journal={In preparation},}