Functional regression approximate Bayesian computation for Gaussian process density estimation. - G. S. Rodrigues; David J. Nott; Scott A. Sisson (Comput. Stat. Data Anal., 2016)

Recalibration: A post-processing method for approximate Bayesian computation. - G. S. Rodrigues; Dennis Prangle; Scott A. Sisson (Comput. Stat. Data Anal., 2018)

Likelihood-free approximate Gibbs sampling. - G. S. Rodrigues; David J. Nott; Scott A. Sisson (Stat. Comput., 2020)

Model-Free Local Recalibration of Neural Networks. - R. Torres; David J. Nott; Scott A. Sisson; T. Rodrigues; J. G. Reis; G. S. Rodrigues (CoRR, 2024)