publications

2026

1. in press

   Modeling EEG spectral features through warped functional mixed membership models

   Landry, E., Şentürk, D.,  Jeste, S. and 3 more authors

   Bayesian Analysis 2026

   Bib

   @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 = {2026},
     journal = {Bayesian Analysis},
     volume = {Advance Publication},
     pages = {1--30},
     doi = {10.1214/26-BA1594},
   }

2. in press

   Mixed membership models for multilevel functional data.

   Telesca, D., Marco, N.,  and Landry, E.

   Statistical Science: From Theory to Applied Research I: SIS-FENStats 2026, Short Papers 2026

   Bib

   @article{telesca2026,
     title = {Mixed membership models for multilevel functional data.},
     author = {Telesca, D. and Marco, N. and Landry, E.},
     year = {2026},
     journal = {Statistical Science: From Theory to Applied Research I: SIS-FENStats 2026, Short Papers},
   }

3. in press

   Bayesian Causal Methods for Heterogeneous Treatment Effects in Environmental Health

   Zorzetto, D., Landry, E.,  Guindani, M. and 4 more authors

   Current Environmental Health Reports 2026

   Bib

   @article{zorzetto2026,
     title = {Bayesian Causal Methods for Heterogeneous Treatment Effects in Environmental Health},
     author = {Zorzetto, D. and Landry, E. and Guindani, M. and Telesca, D. and V., Edefonti and R., De Vito and J., Bargagli-Stoffi F.},
     year = {2026},
     journal = {Current Environmental Health Reports},
   }

4. arXiv

   Transporting predictions via double machine learning: predicting partially unobserved students’ outcomes

   Bargagli-Stoffi, F., Landry, E.,  Josey, K.P. and 3 more authors

   arXiv preprint arXiv:2412.08762 2026

   arXiv Bib

   @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 = {2026},
     journal = {arXiv preprint arXiv:2412.08762},
   }

5. prep

   Bayesian regression in the Wasserstein space for density-valued data

   Landry, E., Şentürk, D.,  Jeste, S. and 3 more authors

   In preparation 2026

   Bib

   @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 = {2026},
     journal = {In preparation},
   }

6. prep

   Transporting predictions via double Bayesian machine learning

   Landry, E., Telesca, D.,  and Bargagli-Stoffi, F.

   In preparation 2026

   Bib

   @article{landry2025draft2,
     title = {Transporting predictions via double Bayesian machine learning},
     author = {Landry, E. and Telesca, D. and Bargagli-Stoffi, F.},
     year = {2026},
     journal = {In preparation},
   }