Julyan Arbel
Cited by
Cited by
LDpred2: better, faster, stronger
F Privé, J Arbel, BJ Vilhjálmsson
Bioinformatics 36 (22-23), 5424-5431, 2020
On the sub-Gaussianity of the Beta and Dirichlet distributions
O Marchal, J Arbel
Electronic Communications in Probability 22, 1-14, 2017
Bayesian optimal adaptive estimation using a sieve prior
J Arbel, G Gayraud, J Rousseau
Scandinavian journal of statistics 40 (3), 549-570, 2013
Understanding priors in Bayesian neural networks at the unit level
M Vladimirova, J Verbeek, P Mesejo, J Arbel
International Conference on Machine Learning, 2018
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
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
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
Approximate Bayesian computation via the energy statistic
HD Nguyen, J Arbel, H Lü, F Forbes
IEEE Access 8, 131683-131698, 2020
A moment-matching Ferguson & Klass algorithm
J Arbel, I Prünster
Statistics and Computing 27 (1), 3-17, 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
Full Bayesian inference with hazard mixture models
J Arbel, A Lijoi, B Nipoti
Computational Statistics & Data Analysis 93, 359-372, 2016
Stochastic approximations to the Pitman–Yor process
J Arbel, P De Blasi, I Prünster
Bayesian Analysis 14 (4), 1201-1219, 2019
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
Estimating immigration flows: reconciling two sources using a Bayesian approach
J Arbel, V Costemalle
Economie & Statistique, 2016
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
Dictionary-free MR fingerprinting parameter estimation via inverse regression
F Boux, F Forbes, J Arbel, E Barbier
Joint Annual Meeting ISMRM-ESMRMB 2018, 1-2, 2018
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), 100136, 2022
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), 1-20, 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
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
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