| Importance sampling: Intrinsic dimension and computational cost S Agapiou, O Papaspiliopoulos, D Sanz-Alonso, AM Stuart Statistical Science, 405-431, 2017 | 180* | 2017 |
| Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems S Agapiou, S Larsson, AM Stuart Stochastic Processes and their Applications 123 (10), 3828-3860, 2013 | 103 | 2013 |
| Analysis of the Gibbs sampler for hierarchical inverse problems S Agapiou, JM Bardsley, O Papaspiliopoulos, AM Stuart SIAM/ASA Journal on Uncertainty Quantification 2 (1), 511-544, 2014 | 58 | 2014 |
| Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems S Agapiou, M Burger, M Dashti, T Helin Inverse Problems 34 (4), 045002, 2018 | 44 | 2018 |
| Bayesian posterior contraction rates for linear severely ill-posed inverse problems S Agapiou, AM Stuart, YX Zhang Journal of Inverse and Ill-posed Problems 22 (3), 297–321, 2014 | 41 | 2014 |
| Unbiased Monte Carlo: posterior estimation for intractable/infinite-dimensional models S Agapiou, GO Roberts, SJ Vollmer Bernoulli 24 (3), 1726-1786, 2018 | 24* | 2018 |
| Rates of contraction of posterior distributions based on -exponential priors S Agapiou, M Dashti, T Helin Bernoulli 27 (3), 1616-1642, 2021 | 22 | 2021 |
| Posterior Contraction in Bayesian Inverse Problems Under Gaussian Priors S Agapiou, P Mathé New Trends in Parameter Identification for Mathematical Models, 1-29, 2018 | 12* | 2018 |
| Laplace priors and spatial inhomogeneity in Bayesian inverse problems S Agapiou, S Wang to appear in Bernoulli, arXiv:2112.05679, 2021 | 7 | 2021 |
| Aspects of Bayesian inverse problems S Agapiou University of Warwick, 2013 | 7 | 2013 |
| Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus S Agapiou, A Anastasiou, A Baxevani, C Nicolaides, G Hadjigeorgiou, ... Scientific reports 11 (1), 7342, 2021 | 5* | 2021 |
| Designing truncated priors for direct and inverse Bayesian problems S Agapiou, P Mathé Electronic Journal of Statistics 16 (1), 158-200, 2022 | 2 | 2022 |
| Heavy-tailed Bayesian nonparametric adaptation S Agapiou, I Castillo arXiv preprint arXiv:2308.04916, 2023 | 1 | 2023 |
| Adaptive inference over Besov spaces in the white noise model using -exponential priors S Agapiou, A Savva to appear in Bernoulli, arXiv:2209.06045, 2022 | 1 | 2022 |
Andrew M StuartComputing + Mathematical Sciences, CaltechVerified email at caltech.edu
