sample of publications

• articles 

  • 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

• conference contributions 

  • Safe importance sampling based on partial posteriors and neural variational approximations.  2021-2025. 2022

• working papers 

  • Adaptive posterior distributions for covariance matrix learning in Bayesian inversion problems for multioutput signals 2023