| On the safe use of prior densities for Bayesian model selection F Llorente, L Martino, E Curbelo, J López‐Santiago, D Delgado Wiley Interdisciplinary Reviews: Computational Statistics 15 (1), e1595, 2023 | 19 | 2023 |
| MCMC‐driven importance samplers F Llorente, E Curbelo, L Martino, V Elvira, D Delgado Applied Mathematical Modelling 111, 310-331, 2022 | 16 | 2022 |
| Automatic tempered posterior distributions for Bayesian inversion problems L Martino, F Llorente, E Curbelo, J Lopez-Santiago, J Míguez Mathematics 9 (7), 784, 2021 | 15 | 2021 |
| Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals E Curbelo, L Martino, F Llorente, D Delgado-Gomez Journal of the Franklin Institute 362 (2), 107441, 2025 | 2 | 2025 |
| Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals L Martino, EA Curbelo Benitez, F Llorente Fernandez, D Delgado Gómez DES-Working Papers. Statistics and Econometrics. WS, 2023 | 1 | 2023 |
| pyLAIS: A Python package for Layered Adaptive Importance Sampling E Curbelo, L Martino, D Delgado-Gómez SoftwareX 29, 101976, 2025 | | 2025 |
| Corrigendum to “pyLAIS: A Python package for Layered Adaptive Importance Sampling”[SoftwareX 29 (2025), 101976] E Curbelo, L Martino, D Delgado-Gómez SoftwareX, 102025, 2024 | | 2024 |
| Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation L Beleña, E Curbelo, L Martino, V Laparra Mathematics 12 (9), 1406, 2024 | | 2024 |
| Neural lasso: a unifying approach of lasso and neural networks E Curbelo, D Delgado-Gómez, D Carreras International Journal of Data Science and Analytics, 1-11, 2024 | | 2024 |
| Neural lasso: a unifying approach of lasso and neural networks D Delgado, E Curbelo, D Carreras arXiv preprint arXiv:2309.03770, 2023 | | 2023 |
| Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals EA Curbelo Benitez, L Martino, F Llorente Fernandez, D Delgado Gómez | | 2023 |
| Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals E Curbelo, L Martino, F Llorente, D Delgado-Gómez Statistics, 05, 2023 | | 2023 |
| Safe importance sampling based on partial posteriors and neural variational approximations F Llorente, E Curbelo, L Martino, P Olmos, D Delgado 2022 30th European Signal Processing Conference (EUSIPCO), 2021-2025, 2022 | | 2022 |
