Recalibration: A post-processing method for approximate Bayesian computation GS Rodrigues, D Prangle, SA Sisson Computational Statistics & Data Analysis 126, 53-66, 2018 | 25 | 2018 |
Likelihood-free approximate Gibbs sampling GS Rodrigues, DJ Nott, SA Sisson Statistics and computing 30 (4), 1057-1073, 2020 | 21 | 2020 |
Functional regression approximate Bayesian computation for Gaussian process density estimation GS Rodrigues, DJ Nott, SA Sisson Computational statistics & data analysis 103, 229-241, 2016 | 13 | 2016 |
Bayesian dynamic dirichlet models CQ Da-Silva, GS Rodrigues Communications in Statistics-Simulation and Computation 44 (3), 787-818, 2015 | 10 | 2015 |
Inferences on the acquisition of multi-drug resistance in mycobacterium tuberculosis using molecular epidemiological data GS Rodrigues, AR Francis, SA Sisson, MM Tanaka Handbook of Approximate Bayesian Computation, 481-511, 2018 | 6 | 2018 |
New methods for infinite and high-dimensional approximate Bayesian computation G Rodrigues UNSW Sydney, 2017 | 4 | 2017 |
A probabilistically-oriented analysis of the performance of asr systems for brazilian radios and tvs DM de Azevedo, GS Rodrigues, M Ladeira Brazilian Conference on Intelligent Systems, 169-180, 2022 | 1 | 2022 |
Model-Free Local Recalibration of Neural Networks R Torres, DJ Nott, SA Sisson, T Rodrigues, JG Reis, GS Rodrigues arXiv preprint arXiv:2403.05756, 2024 | | 2024 |
Modelos dināmicos Dirichlet GS Rodrigues | | 2012 |