Publications
Preprints
L. Cella (2024). Fusing independent inferential models in a black-box manner. [arXiv].
L. Cella and R. Martin (2024). Variational approximations of possibilistic inferential models. [arXiv].
Published or Accepted
L. Cella (2024). Distribution-free Inferential Models: Achieving finite-sample valid probabilistic inference, with emphasis on quantile regression. International Journal of Approximate Reasoning. (Journal-invited extended version of the conference paper .)
L. Cella and R. Martin (2023). Possibility-theoretic statistical inference offers performance and probativeness assurances . International Journal of Approximate Reasoning. [researchers.one] [arXiv] (Journal-invited extended version of the conference paper .)
L. Cella (2023). Finite Sample Valid Probabilistic Inference on Quantile Regression . Proceedings of the 13th International Symposium on Imprecise Probabilities: Theories and Applications.
L. Cella and R. Martin (2022). Direct and approximately valid probabilistic inference on a class of statistical functionals . International Journal of Approximate Reasoning. [researchers.one] [arXiv] (Journal-invited extended version of the conference paper .)
L. Cella and R. Martin (2022). Valid inferential models for prediction in supervised learning problems . International Journal of Approximate Reasoning. [researchers.one] [arXiv] (Journal-invited extended version of the conference paper.)
L. Cella and R. Martin (2022). Valid inferential models offer performance and probativeness assurances. Proceedings of the 7th International Conference on Belief Functions.
L. Cella and R. Martin (2022). Validity, consonant plausibility measures, and conformal prediction. International Journal of Approximate Reasoning. Special issue in honor of Glenn Shafer's 75th birthday. [researchers.one] [arXiv]
L. Cella and R. Martin (2021). Approximately Valid and Model-Free Possibilistic Inference. Proceedings of the 6th International Conference on Belief Functions.
L. Cella and R. Martin (2021). Valid Inferential Models for Prediction in Supervised Learning Problems. Proceedings of the 12th International Symposium on Imprecise Probabilities: Theories and Applications.
L. Cella (2021). New Imprecise-probabilistic Methods for Statistical Inference and Prediction. Ph.D. thesis.
L. Cella and R. Martin (2019). Incorporating Expert Opinion in an Inferential Model while Maintaining Validity. Proceedings of the 11th International Symposium on Imprecise Probabilities: Theories and Applications.
L. Cella (2014). Regressão ordinal Bayesiana. Master's thesis.