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Julyan Arbel
Julyan Arbel
Inria - Univ. Grenoble Alpes
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
LDpred2: better, faster, stronger
F Privé, J Arbel, BJ Vilhjálmsson
Bioinformatics 36 (22-23), 5424-5431, 2020
5462020
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
1242021
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
1042020
Understanding priors in Bayesian neural networks at the unit level
M Vladimirova, J Verbeek, P Mesejo, J Arbel
International Conference on Machine Learning, 2018
94*2018
On the sub-Gaussianity of the Beta and Dirichlet distributions
O Marchal, J Arbel
Electronic Communications in Probability 22, 1-14, 2017
932017
Bayesian optimal adaptive estimation using a sieve prior
J Arbel, G Gayraud, J Rousseau
Scandinavian Journal of Statistics 40 (3), 549-570, 2013
642013
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
392022
Stochastic approximations to the Pitman–Yor process
J Arbel, P De Blasi, I Prünster
Bayesian Analysis 14 (4), 753--771, 2019
332019
Approximate Bayesian computation via the energy statistic
HD Nguyen, J Arbel, H Lü, F Forbes
IEEE Access 8, 131683-131698, 2020
302020
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
282016
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ...
Forty-first International Conference on Machine Learning, 2024
27*2024
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
26*2021
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
262020
Full Bayesian inference with hazard mixture models
J Arbel, A Lijoi, B Nipoti
Computational Statistics & Data Analysis 93, 359-372, 2016
25*2016
Inferring disease architecture and predictive ability with LDpred2-auto
F Privé, C Albińana, J Arbel, B Pasaniuc, BJ Vilhjálmsson
The American Journal of Human Genetics 110 (12), 2042-2055, 2023
212023
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
212017
On the use of a local R-hat to improve MCMC convergence diagnostic
T Moins, J Arbel, A Dutfoy, S Girard
Bayesian Analysis, 2023
18*2023
A primer on Bayesian neural networks: review and debates
J Arbel, K Pitas, M Vladimirova, V Fortuin
arXiv preprint arXiv:2309.16314, 2023
162023
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
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