LDpred2: better, faster, stronger F Privé, J Arbel, BJ Vilhjálmsson Bioinformatics 36 (22-23), 5424-5431, 2020 | 467 | 2020 |
On the interpretations of joint modeling in community ecology G Poggiato, T Münkemüller, D Bystrova, J Arbel, JS Clark, W Thuiller Trends in Ecology & Evolution 36 (5), 391-401, 2021 | 104 | 2021 |
Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions M Vladimirova, S Girard, H Nguyen, J Arbel Stat 9 (1), e318, 2020 | 93 | 2020 |
Understanding priors in Bayesian neural networks at the unit level M Vladimirova, J Verbeek, P Mesejo, J Arbel International Conference on Machine Learning, 2018 | 88* | 2018 |
On the sub-Gaussianity of the Beta and Dirichlet distributions O Marchal, J Arbel Electronic Communications in Probability 22, 1-14, 2017 | 88 | 2017 |
Bayesian optimal adaptive estimation using a sieve prior J Arbel, G Gayraud, J Rousseau Scandinavian Journal of Statistics 40 (3), 549-570, 2013 | 66 | 2013 |
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores F Privé, J Arbel, H Aschard, BJ Vilhjálmsson Human Genetics and Genomics Advances 3 (4), 2022 | 34 | 2022 |
Approximate Bayesian computation via the energy statistic HD Nguyen, J Arbel, H Lü, F Forbes IEEE Access 8, 131683-131698, 2020 | 29 | 2020 |
Stochastic approximations to the Pitman–Yor process J Arbel, P De Blasi, I Prünster Bayesian Analysis 14 (4), 753--771, 2019 | 28 | 2019 |
Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity J Arbel, K Mengersen, J Rousseau The Annals of Applied Statistics, 1496-1516, 2016 | 28* | 2016 |
A moment-matching Ferguson & Klass algorithm J Arbel, I Prünster Statistics and Computing 27 (1), 3-17, 2016 | 27 | 2016 |
On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables J Arbel, O Marchal, HD Nguyen ESAIM: Probability and Statistics 24, 39-55, 2020 | 25 | 2020 |
Full Bayesian inference with hazard mixture models J Arbel, A Lijoi, B Nipoti Computational statistics & data analysis 93, 359-372, 2016 | 24* | 2016 |
Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics J Arbel, S Favaro, B Nipoti, YW Teh Statistica Sinica 27, 839-858, 2017 | 19 | 2017 |
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors F Forbes, HD Nguyen, TT Nguyen, J Arbel Statistics and Computing 32 (5), 85, 2022 | 15* | 2022 |
Bayesian inverse regression for vascular magnetic resonance fingerprinting F Boux, F Forbes, J Arbel, B Lemasson, EL Barbier IEEE Transactions on Medical Imaging 40 (7), 1827-1837, 2021 | 14 | 2021 |
Estimating immigration flows: reconciling two sources using a Bayesian approach J Arbel, V Costemalle Economie & Statistique, 2016 | 14* | 2016 |
On the use of a local R-hat to improve MCMC convergence diagnostic T Moins, J Arbel, A Dutfoy, S Girard Bayesian Analysis, 2023 | 13 | 2023 |
Clustering species with residual covariance matrix in joint species distribution models D Bystrova, G Poggiato, B Bektaş, J Arbel, JS Clark, A Guglielmi, ... Frontiers in Ecology and Evolution 9, 601384, 2021 | 12 | 2021 |
Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel‐contaminated soil J Arbel, CK King, B Raymond, T Winsley, KL Mengersen Ecology and Evolution 5 (13), 2633-2645, 2015 | 12 | 2015 |