sample of publications
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articles
- Corrigendum to 'pyLAIS: A Python package for Layered Adaptive Importance Sampling' [SoftwareX 29 (2025), 101976] (SoftwareX (2025) 29, (S2352711024003467), (10.1016/j.softx.2024.101976)) = Corrección de errores de "pyLAIS: Un paquete de Python para el muestreo de importancia adaptativo en capas" [SoftwareX 29 (2025), 101976]. SoftwareX. 29. 2025
- pyLAIS: A Python package for Layered Adaptive Importance Sampling. SoftwareX. 29:1-10. 2025
- Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. Journal of the Franklin Institute. 362:1-27. 2025
- Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation. Mathematics. 12:1-15. 2024
- On the safe use of prior densities for Bayesian model selection. Wiley Interdisciplinary Reviews: Computational Statistics. 15:1-29. 2023
- MCMC-driven importance samplers. APPLIED MATHEMATICAL MODELLING. 111:310-331. 2022
- Automatic tempered posterior distributions for bayesian inversion problems. Mathematics. 9:784. 2021
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conference contributions
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working papers