| A review of methods for analysis of the expected value of information A Heath, I Manolopoulou, G Baio Medical decision making 37 (7), 747-758, 2017 | 82 | 2017 |
| Estimating individual treatment effects using non-parametric regression models: A review A Caron, G Baio, I Manolopoulou Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 60 | 2022 |
| Palaeo‐islands as refugia and sources of genetic diversity within volcanic archipelagos: the case of the widespread endemic Canarina canariensis (Campanulaceae) M Mairal, I Sanmartín, JJ Aldasoro, V Culshaw, I Manolopoulou, ... Molecular Ecology 24 (15), 3944-3963, 2015 | 59 | 2015 |
| Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation A Heath, I Manolopoulou, G Baio Statistics in medicine 35 (23), 4264-4280, 2016 | 50 | 2016 |
| Efficient Monte Carlo estimation of the expected value of sample information using moment matching A Heath, I Manolopoulou, G Baio Medical Decision Making 38 (2), 163-173, 2018 | 41 | 2018 |
| Climate drives community‐wide divergence within species over a limited spatial scale: evidence from an oceanic island A Salces‐Castellano, J Patiño, N Alvarez, C Andújar, P Arribas, ... Ecology Letters 23 (2), 305-315, 2020 | 40 | 2020 |
| A Bayesian approach to phylogeographic clustering I Manolopoulou, L Legarreta, BC Emerson, S Brooks, S Tavaré Interface Focus 1 (6), 909-921, 2011 | 37 | 2011 |
| Incorporating astrochemistry into molecular line modelling via emulation D de Mijolla, S Viti, J Holdship, I Manolopoulou, J Yates Astronomy & Astrophysics 630, A117, 2019 | 30 | 2019 |
| A Bayesian partial identification approach to inferring the prevalence of accounting misconduct PR Hahn, JS Murray, I Manolopoulou Journal of the American Statistical Association 111 (513), 14-26, 2016 | 27 | 2016 |
| Shrinkage Bayesian causal forests for heterogeneous treatment effects estimation A Caron, G Baio, I Manolopoulou Journal of Computational and Graphical Statistics 31 (4), 1202-1214, 2022 | 22 | 2022 |
| Phylogeographic ancestral inference using the coalescent model on haplotype trees I Manolopoulou, BC Emerson Journal of Computational Biology 19 (6), 745-755, 2012 | 21 | 2012 |
| Selection sampling from large data sets for targeted inference in mixture modeling I Manolopoulou, C Chan, M West Bayesian analysis (Online) 5 (3), 1, 2010 | 21 | 2010 |
| Estimating the expected value of sample information across different sample sizes using moment matching and nonlinear regression A Heath, I Manolopoulou, G Baio Medical Decision Making 39 (4), 347-359, 2019 | 18 | 2019 |
| BPEC: An R package for Bayesian phylogeographic and ecological clustering I Manolopoulou, A Hille, B Emerson Journal of Statistical Software 92, 1-32, 2020 | 17 | 2020 |
| Bayesian spatio-dynamic modeling in cell motility studies: Learning nonlinear taxic fields guiding the immune response I Manolopoulou, MP Matheu, MD Cahalan, M West, TB Kepler Journal of the American Statistical Association 107 (499), 855-865, 2012 | 16 | 2012 |
| Improving risk stratification for patients with type 2 myocardial infarction C Taggart, K Monterrubio-Gómez, A Roos, J Boeddinghaus, DM Kimenai, ... Journal of the American College of Cardiology 81 (2), 156-168, 2023 | 14 | 2023 |
| Modelling grocery retail topic distributions: Evaluation, interpretability and stability M Vega-Carrasco, J O'sullivan, R Prior, I Manolopoulou, M Musolesi arXiv preprint arXiv:2005.10125, 2020 | 11 | 2020 |
| Posterior summaries of grocery retail topic models: Evaluation, interpretability and credibility M Vega Carrasco, I Manolopoulou, J O'Sullivan, R Prior, M Musolesi Journal of the Royal Statistical Society Series C: Applied Statistics 71 (3 …, 2022 | 7 | 2022 |
| Bayesian hierarchical modelling of sparse count processes in retail analytics J Pitkin, I Manolopoulou, G Ross arXiv preprint arXiv:1805.05657, 2018 | 6 | 2018 |
| Mixtures of Gaussian wells: Theory, computation, and application I Manolopoulou, TB Kepler, DM Merl Computational statistics & data analysis 56 (12), 3809-3820, 2012 | 4 | 2012 |
Gianluca BaioUniversity College LondonPreverjeni e-poštni naslov na ucl.ac.uk