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Julyan Arbel

112
Documents

Presentation

Vous pouvez trouver en suivant les liens: \- ma page personnelle: <http://www.julyanarbel.com/> \- mon CV en [Anglais](https://dl.dropboxusercontent.com/u/1391912/webpage/CV_Arbel_EN.pdf) et en [Français](https://dl.dropboxusercontent.com/u/1391912/webpage/CV_Arbel_FR.pdf).
You can find: \- my webpage: <http://www.julyanarbel.com/> \- my CV in [English](https://dl.dropboxusercontent.com/u/1391912/webpage/CV_Arbel_EN.pdf) and in [French](https://dl.dropboxusercontent.com/u/1391912/webpage/CV_Arbel_FR.pdf).

Publications

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Reparameterization of extreme value framework for improved Bayesian workflow

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy
Computational Statistics and Data Analysis, 2023, 187, pp.1-21. ⟨10.1016/j.csda.2023.107807⟩
Journal articles hal-03806159v4
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On the use of a local $\hat R$ to improve MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
Bayesian Analysis, 2023, ⟨10.1214/23-BA1399⟩
Journal articles hal-03600407v2
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Multivariate expectile-based distribution: properties, Bayesian inference, and applications

Julyan Arbel , Stéphane Girard , Hien Duy Nguyen , Antoine Usseglio-Carleve
Journal of Statistical Planning and Inference, 2023, 225, pp.146-170. ⟨10.1016/j.jspi.2022.12.001⟩
Journal articles hal-03428827v2
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Bayes in action in deep learning and dictionary learning

Julyan Arbel , Hong-Phuong Dang , Clement Elvira , Cédric Herzet , Zacharie Naulet
ESAIM: Proceedings and Surveys, 2023, 74, pp.90-107. ⟨10.1051/proc/202374090⟩
Journal articles hal-04357371v1
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Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores

Florian Privé , Julyan Arbel , Hugues Aschard , Bjarni Vilhjálmsson
Human Genetics and Genomics Advances, 2022, 3 (4), pp.100136. ⟨10.1016/j.xhgg.2022.100136⟩
Journal articles hal-04144877v1
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Summary statistics and discrepancy measures for ABC via surrogate posteriors

Florence Forbes , Hien Duy Nguyen , Trung Tin Nguyen , Julyan Arbel
Statistics and Computing, 2022, 32 (85), ⟨10.1007/s11222-022-10155-6⟩
Journal articles hal-03139256v5
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Bayesian inverse regression for vascular magnetic resonance fingerprinting

Fabien Boux , Florence Forbes , Julyan Arbel , Benjamin Lemasson , Emmanuel L. Barbier
IEEE Transactions on Medical Imaging, 2021, 40 (7), pp.1827-1837. ⟨10.1109/TMI.2021.3066781⟩
Journal articles hal-02314026v3
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Dirichlet process mixtures under affine transformations of the data

Julyan Arbel , Riccardo Corradin , Bernardo Nipoti
Computational Statistics, 2021, 36, pp.577-601. ⟨10.1007/s00180-020-01013-y⟩
Journal articles hal-01950652v2
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Approximating predictive probabilities of Gibbs-type priors

Julyan Arbel , Stefano Favaro
Sankhya A, 2021, 83, pp.496-519. ⟨10.1007/s13171-019-00187-y⟩
Journal articles hal-01693333v1
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On the interpretations of joint modelling in community ecology

Giovanni Poggiato , Tamara Münkemüller , Daria Bystrova , Julyan Arbel , James Clark
Trends in Ecology & Evolution, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩
Journal articles hal-03153558v1
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BNPdensity: Bayesian nonparametric mixture modelling in R

Julyan Arbel , Guillaume Kon Kam King , Antonio Lijoi , Luis E. Nieto‐Barajas , Igor Prünster
Australian and New Zealand Journal of Statistics, 2021, 63 (3), pp.542-564. ⟨10.1111/anzs.12342⟩
Journal articles hal-03433254v1
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Clustering species with residual covariance matrix in Joint Species Distribution models

Daria Bystrova , Giovanni Poggiato , Billur Bektaş , Julyan Arbel , James S Clark
Frontiers in Ecology and Evolution, 2021, 9, pp.601384:1-11. ⟨10.3389/fevo.2021.601384⟩
Journal articles hal-03151472v1
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Discussion of the paper "Rank-Normalization, Folding, and Localization: An Improved $\widehat{R}$ for Assessing Convergence of MCMC''

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
Bayesian Analysis, 2021, 16 (2), pp.711--712. ⟨10.1214/20-ba1221⟩
Journal articles hal-03222934v1
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On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables

Julyan Arbel , Olivier Marchal , Hien T Nguyen
ESAIM: Probability and Statistics, 2020, 24, pp.39-55. ⟨10.1051/ps/2019018⟩
Journal articles hal-01998252v1
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LDpred2: better, faster, stronger

Florian Privé , Julyan Arbel , Bjarni J Vilhjálmsson
Bioinformatics, 2020, 36 (22-23), pp.5424-5431. ⟨10.1093/bioinformatics/btaa1029⟩
Journal articles hal-03132949v1
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Approximate Bayesian computation via the energy statistic

Hien D Nguyen , Julyan Arbel , Hongliang Lu , Florence Forbes
IEEE Access, 2020, 8, pp.131683-131698. ⟨10.1109/access.2020.3009878⟩
Journal articles hal-02399934v1
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Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions

Mariia Vladimirova , Stéphane Girard , Hien Nguyen , Julyan Arbel
Stat, 2020, 9 (1), pp.e318:1-8. ⟨10.1002/sta4.318⟩
Journal articles hal-02545121v2
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Bayesian nonparametric priors for hidden Markov random fields

Hongliang Lu , Julyan Arbel , Florence Forbes
Statistics and Computing, 2020, 30, pp.1015-1035. ⟨10.1007/s11222-020-09935-9⟩
Journal articles hal-02163046v3
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On the Hurwitz zeta function with an application to the exponential-beta distribution

Julyan Arbel , Olivier Marchal , Bernardo Nipoti
Journal of Inequalities and Applications, 2020, 2020, pp.89:1-8. ⟨10.1186/s13660-020-02357-1⟩
Journal articles hal-02400451v1
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Stochastic approximations to the Pitman-Yor process

Julyan Arbel , Pierpaolo de Blasi , Igor Prünster
Bayesian Analysis, 2019, 14 (3), pp.753-771. ⟨10.1214/18-BA1127⟩
Journal articles hal-01950654v1
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Dependence properties and Bayesian inference for asymmetric multivariate copulas

Julyan Arbel , Marta Crispino , Stéphane Girard
Journal of Multivariate Analysis, 2019, 174, pp.104530:1-20. ⟨10.1016/j.jmva.2019.06.008⟩
Journal articles hal-01963975v2
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A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representation

Caroline Lawless , Julyan Arbel
Dependence Modeling, 2019, 7 (1), pp.45-52. ⟨10.1515/demo-2019-0003⟩
Journal articles hal-01950653v1
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Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics

Julyan Arbel , Stefano Favaro , Bernardo Nipoti , Yee Whye Teh
Statistica Sinica, 2017, 27, pp.839-858. ⟨10.5705/ss.202015.0250⟩
Journal articles hal-01203324v1
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A moment-matching Ferguson & Klass algorithm

Julyan Arbel , Igor Prünster
Statistics and Computing, 2017, 27 (1), pp.3-17. ⟨10.1007/s11222-016-9676-8⟩
Journal articles hal-01396587v1
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On the sub-Gaussianity of the Beta and Dirichlet distributions

Olivier Marchal , Julyan Arbel
Electronic Communications in Probability, 2017, 22 (paper no. 54), pp.1-14. ⟨10.1214/17-ECP92⟩
Journal articles hal-01521300v1
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Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienne

Julyan Arbel , Vianney Costemalle
Economie et Statistique / Economics and Statistics, 2016, 483-484-485, pp.121-149
Journal articles hal-01396606v1
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Full Bayesian inference with hazard mixture models

Julyan Arbel , Antonio Lijoi , Bernardo Nipoti
Computational Statistics and Data Analysis, 2016, 93, pp.359--372. ⟨10.1016/j.csda.2014.12.003⟩
Journal articles hal-01203296v1
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Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity

Julyan Arbel , Kerrie L. Mengersen , Judith Rousseau
Annals of Applied Statistics, 2016, 10 (3), pp.1496-1516. ⟨10.1214/16-AOAS944⟩
Journal articles hal-01203345v1
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Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil

Julyan Arbel , Catherine K King , Ben Raymond , Tristrom Winsley , Kerrie L. Mengersen
Ecology and Evolution, 2015, ⟨10.1002/ece3.1493⟩
Journal articles hal-01203289v1

Discussion of Sequential quasi Monte Carlo

Julyan Arbel , Igor Prünster
Journal of the Royal Statistical Society: Series B, 2015, 77 (3), pp.559-560. ⟨10.1111/rssb.12104⟩
Journal articles hal-01970234v1
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Bayesian optimal adaptive estimation using a sieve prior

Julyan Arbel , Ghislaine Gayraud , Judith Rousseau
Scandinavian Journal of Statistics, 2013, ⟨10.1002/sjos.12002⟩
Journal articles hal-01203280v1
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Clustering inconsistency for Pitman--Yor mixture models with a prior on the precision but fixed discount parameter

Caroline Lawless , Louise Alamichel , Julyan Arbel , Guillaume Kon Kam King
AABI 2023 - 5th Symposium on Advances in Approximate Bayesian Inference, Jul 2023, Honolulu, United States. pp.1-12
Conference papers hal-04425711v1

Regularized partial least squares for extreme values

Julyan Arbel , Stéphane Girard , Hadrien Lorenzo
CMStatistics 2023 - 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2023, Berlin, Germany
Conference papers hal-04350491v1

Reparameterization of extreme value framework for improved Bayesian workflow

Julyan Arbel , Anne Dutfoy-Lebrun , Stéphane Girard , Théo Moins
EVA 2023 - 13th International Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, Jun 2023, Milan, Italy
Conference papers hal-04170162v1

On the consistency of Bayesian nonparametric mixtures for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King
ISBA 2022 - World Meeting International Society for Bayesian Analysis, Jun 2022, Montreal, Canada
Conference papers hal-03866460v1

Improving MCMC convergence diagnostic with a local version of R-hat

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
CMStatistics 2022 - 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom
Conference papers hal-03910658v1
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Imposing Gaussian Pre-Activations in a Neural Network

Pierre Wolinski , Julyan Arbel
JDS 2022 - 53es Journées de Statistique de la Société Française de Statistiques (SFdS), Jun 2022, Lyon, France
Conference papers hal-03853790v1
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Bayesian nonparametric mixtures inconsistency for the number of clusters

Louise Alamichel , Julyan Arbel , Daria Bystrova , Guillaume Kon Kam King
53es journées de Statistiques, Société Française de Statistique, Jun 2022, Lyon, France
Conference papers hal-03866522v1
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A local version of R-hat for MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6
Conference papers hal-03683927v1
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Mixture of expert posterior surrogates for approximate Bayesian computation

Florence Forbes , Hien Duy Nguyen , Trungtin Nguyen , Julyan Arbel
SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6
Conference papers hal-03679688v1

Bayesian nonparametric mixture of experts for high-dimensional inverse problems

Trungtin Nguyen , Florence Forbes , Julyan Arbel
BNP13 - 13th International Conference on Bayesian Nonparametrics, Oct 2022, Puerto Varas, Chile
Conference papers hal-04001270v1

On the use of a local R-hat to improve MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
Energy Forecasting Innovation Conference 2022, May 2022, Londres, United Kingdom
Conference papers hal-03683896v1
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Dependence between Bayesian neural network units

Mariia Vladimirova , Julyan Arbel , Stéphane Girard
BDL 2021 - Workshop. Bayesian Deep Learning NeurIPS, Dec 2021, Montreal, Canada. pp.1-9
Conference papers hal-03449211v1
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Approximating the clusters' prior distribution in Bayesian nonparametric models

Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King , François Deslandes
AABI 2020 - 3rd Symposium on Advances in Approximate Bayesian Inference, Jan 2021, Online, United States. pp.1-16
Conference papers hal-03151483v1
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Bayesian neural network unit priors and generalized Weibull-tail property

Mariia Vladimirova , Julyan Arbel , Stéphane Girard
ACML 2021 - 13th Asian Conference on Machine Learning, Nov 2021, Virtual, Unknown Region. pp.1-16
Conference papers hal-03368522v1
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On Reparameterisations of the Poisson Process Model for Extremes in a Bayesian Framework

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
JDS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice / Virtual, France. pp.1-6
Conference papers hal-03264261v1
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A Bayesian Framework for Poisson Process Characterization of Extremes with Objective Prior

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Virtual, France
Conference papers hal-03347871v1

Improving MCMC convergence diagnostic with a local version of R-hat

Julyan Arbel , Stéphane Girard , Théo Moins , Anne Dutfoy , Khalil Leachouri
MAS 2021 - Journées Modélisation Aléatoire et Statistique, Aug 2021, Orléans, France
Conference papers hal-03337454v1

A Bayesian framework for Poisson process characterization of extremes with uninformative prior

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom
Conference papers hal-03501794v1
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Generalized Weibull-tail distributions

Mariia Vladimirova , Julyan Arbel , Stéphane Girard
JDS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France. pp.1-6
Conference papers hal-03264446v1
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Bayesian block-diagonal graphical models via the Fiedler prior

Julyan Arbel , Mario Beraha , Daria Bystrova
SFdS - 52 Journées de Statistique de la Société Francaise de Statistique, Jun 2021, Nice, France. pp.1-6
Conference papers hal-03275245v1

Approximate Bayesian computation with surrogate posteriors

Julyan Arbel , Florence Forbes , Hien Duy Nguyen , Trungtin Nguyen
ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Marseille, France
Conference papers hal-03337949v1
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Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning

Fabien Boux , Florence Forbes , Julyan Arbel , Aurélien Delphin , Thomas Christen
ISMRM 2020 - International Society for Magnetic Resonance in Medicine, Aug 2020, Sidney, Australia. pp.1-4
Conference papers hal-02922858v1
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Estimation de paramètres IRM en grande dimension via une régression inverse

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel Barbier
SFRMBM 2020 - 4e congrés de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2020, Strasbourg, France. pp.1
Conference papers hal-02428679v1
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Understanding Priors in Bayesian Neural Networks at the Unit Level

Mariia Vladimirova , Jakob Verbeek , Pablo Mesejo , Julyan Arbel
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.6458-6467
Conference papers hal-02177151v1
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Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients

Verónica Muñoz Ramírez , Florence Forbes , Julyan Arbel , Alexis Arnaud , Michel Dojat
ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩
Conference papers hal-01970682v2
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Dictionary learning via regression: vascular MRI application

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel Barbier
CNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-12
Conference papers hal-02428647v1

Dependence properties and Bayesian inference for asymmetric multivariate copulas

Marta Crispino , Stéphane Girard , Julyan Arbel
CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom
Conference papers hal-02413948v1

Non parametric Bayesian priors for hidden Markov random fields: application to image segmentation

Florence Forbes , Hongliang Lu , Julyan Arbel
BNPSI 2018 : Workshop on Bayesian non parametrics for signal and image processing, Jul 2018, Bordeaux, France
Conference papers hal-01941687v1
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Bayesian Nonparametric Priors for Hidden Markov Random Fields

Hongliang Lu , Julyan Arbel , Florence Forbes
50e Journées de la Statistique de la SFdS, May 2018, Saclay, France. pp.1-5
Conference papers hal-01941638v1

A Bayesian Nonparametric Approach to Ecological Risk Assessment

Julyan Arbel , Guillaume Kon Kam King , Igor Prünster
SMPGD 2018 - Workshop on Statistical Methods for Post Genomic Data, Jan 2018, Montpellier, France
Conference papers hal-01950669v1
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Bayesian neural networks become heavier-tailed with depth

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo
NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-7
Conference papers hal-01950658v1

Some distributional properties of Bayesian neural networks

Julyan Arbel
Workshop on Bayesian nonparametrics, Jul 2018, Bordeaux, France
Conference papers hal-01950667v1

Introduction to Bayesian nonparametric statistics

Julyan Arbel
Séminaire de Statistique au sommet de Rochebrune, Mar 2018, Megève, France
Conference papers hal-01950668v1
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Dictionary-Free MR Fingerprinting Parameter Estimation Via Inverse Regression

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel L. Barbier
Joint Annual Meeting ISMRM-ESMRMB 2018, Jun 2018, Paris, France. pp.1-2
Conference papers hal-01941630v1
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Non parametric Bayesian priors for hidden Markov random fields

Florence Forbes , Hongliang Lu , Julyan Arbel
JSM 2018 - Joint Statistical Meeting, Jul 2018, Vancouver, Canada. pp.1-38
Conference papers hal-01941679v1
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Bayesian neural network priors at the level of units

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo
AABI 2018 - 1st Symposium on Advances in Approximate Bayesian Inference, Dec 2018, Montréal, Canada. pp.1-6
Conference papers hal-01950659v1
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Les écoles d'astrostatistique " Statistics for Astrophysics "

Julyan Arbel , Didier Fraix-Burnet , Stéphane Girard
CFIES 2017 - 5ème Colloque Francophone International sur l’Enseignement de la Statistique, Sep 2017, Grenoble, France
Conference papers hal-01583854v1

Bayesian nonparametric clustering

Julyan Arbel
School of Statistics for Astrophysics: Bayesian methodology, Oct 2017, Autrans, France
Conference papers hal-01667760v1

Bayesian nonparametric mixture models and clustering

Julyan Arbel
Workshop 'New challenges in statistics for social sciences', Oct 2017, Venise, Italy
Conference papers hal-01667755v1

Approximating predictive probabilities of Gibbs-type priors

Julyan Arbel
ERCIM - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom
Conference papers hal-01667746v1

Bayesian nonparametric inference for discovery probabilities

Julyan Arbel
YES VIII Workshop on Uncertainty Quantification, Jan 2017, Eindhoven, Netherlands
Conference papers hal-01667794v1

Investigating predictive probabilities of Gibbs-type priors

Julyan Arbel
Mathematical Methods of Modern Statistics, Jul 2017, Marseille, France
Conference papers hal-01667765v1

Probabilités de découverte d'espèces: Bayes à la rescousse de Good & Turing

Julyan Arbel
Journées Scientifiques d'Inria, Jun 2017, Sophia Antipolis, France
Conference papers hal-01667788v1

Truncation error of a superposed gamma process in a decreasing order representation

Julyan Arbel
NIPS Meeting, Dec 2016, Barcelone, Spain
Conference papers hal-01667804v1
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Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models

Julyan Arbel , Jean-Bernard Salomond
NIPS - Conference on Neural Information Processing Systems, Dec 2016, Barcelone, Spain
Conference papers hal-01405568v1
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On diversity under a Bayesian nonparametric dependent model

Julyan Arbel , Kerrie L. Mengersen , Judith Rousseau
XLVII Meeting of the Italian Statistical Society, Italian Statistical Society, Jun 2014, Cagliari, Italy
Conference papers hal-01203340v1
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A Local Version of R to Improve MCMC Convergence Diagnostic

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy
BAYSM 2022 - Bayesian Young Statisticians Meeting, Jun 2022, Montréal, Canada
Conference poster hal-03765339v1
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Bayesian mixture models (in)consistency for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King
13th Bayesian nonparametrics (BNP) conference, Oct 2022, Puerto Varas, Chile.
Conference poster hal-03866441v1
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A Local Version of R-hat to Improve MCMC Convergence Diagnostic

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy
ISBA 2022 - World Meeting of the International Society for Bayesian Analysis, Jun 2022, Montréal, Canada. pp.1-1
Conference poster hal-03765331v1
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Improving MCMC convergence diagnostic: a local version of R-hat

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy
BayesComp-ISBA workshop: Measuring the quality of MCMC output, Oct 2021, online, France
Conference poster hal-03372736v1

Bayesian Nonparametric Priors for Graph Structured Data: Application to Image Segmentation

Hongliang Lu , Florence Forbes , Julyan Arbel
Bayes Comp 2020, Jan 2020, Gainesville, United States
Conference poster hal-02423642v1
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DATASAFE: understanding Data Accidents for TrAffic SAFEty Acknowledgments

Aleksandra Malkova , Julyan Arbel , Maria Laura Delle Monache
Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1
Conference poster hal-01950663v1
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Bayesian Nonparametric Mixtures Why and How?

Julyan Arbel
IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France
Conference poster hal-01950664v1
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Chinese restaurant process from stick-breaking for Pitman-Yor

Caroline Lawless , Julyan Arbel
Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1
Conference poster hal-01950662v1
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Bayesian neural network priors at the level of units

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo
Bayesian Statistics in the Big Data Era, Nov 2018, Marseille, France. pp.1
Conference poster hal-01950660v1
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Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

Hongliang Lu , Julyan Arbel , Florence Forbes
IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France. pp.1
Conference poster hal-01950666v1
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Beta and Dirichlet sub-Gaussianity

Olivier Marchal , Julyan Arbel
Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France
Conference poster hal-01950665v1
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Unsupervised classification in high dimension

Didier Fraix-Burnet , Charles Bouveyron , Stéphane Girard , Julyan Arbel
European Week of Astronomy and Space Science (EWASS 2017), Jun 2017, Prague, Czech Republic. , 2017
Conference poster hal-01569733v1
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Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models

Julyan Arbel , Jean-Bernard Salomond
BNP 2017 - 11th Conference on Bayesian NonParametrics, Jun 2017, Paris, France. , pp.1
Conference poster hal-01667781v1
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Applications in Industry

Kerrie K. Mengersen , Earl Duncan , Julyan Arbel , Clair Alston-Knox , Nicole White
Sylvia Fruhwirth-Schnatter; Gilles Celeux; Christian P. Robert. Handbook of mixture analysis, CRC press, pp.1-21, 2019, 9781498763813
Book sections hal-01963798v1
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Clustering Milky Way's Globulars: a Bayesian Nonparametric Approach

Julyan Arbel
Statistics for Astrophysics: Bayesian Methodology, pp.113-137, 2018
Book sections hal-01950656v1
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A Bayesian nonparametric approach to ecological risk assessment

Guillaume Kon Kam King , Julyan Arbel , Igor Prünster
Argiento, R.; Lanzarone, E.; Antoniano Villalobos, I.; Mattei, A. Bayesian Statistics in Action, 194, , pp.151--159, 2017, Bayesian Statistics in Action
Book sections hal-01405593v1
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Truncation error of a superposed gamma process in a decreasing order representation

Julyan Arbel , Igor Prünster
Argiento, R.; Lanzarone, E.; Antoniano Villalobos, I.; Mattei, A. Bayesian Statistics in Action, 194, , pp.11--19, 2017, Bayesian Statistics in Action
Book sections hal-01405580v1
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Bayesian Survival Model based on Moment Characterization

Julyan Arbel , Antonio Lijoi , Bernardo Nipoti
Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany. Bayesian Statistics from Methods to Models and Applications, 126, , pp.3-14, 2015, Springer Proceedings in Mathematics & Statistics, 978-3-319-16238-6. ⟨10.1007/978-3-319-16238-6_1⟩
Book sections hal-01203321v1
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Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables

Mathias Barreto , Marchal Olivier , Julyan Arbel
2024
Preprints, Working Papers, ... hal-04503494v1
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Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits

Julien Zhou , Pierre Gaillard , Thibaud Rahier , Houssam Zenati , Julyan Arbel
2024
Preprints, Working Papers, ... hal-04470568v1
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Shrinkage for Extreme Partial Least Squares

Julyan Arbel , Stéphane Girard , Hadrien Lorenzo
2023
Preprints, Working Papers, ... hal-04251783v2
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Bayesian mixture models (in)consistency for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King
2023
Preprints, Working Papers, ... hal-03866434v2
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Bayesian nonparametric mixture of experts for high-dimensional inverse problems

Trungtin Nguyen , Florence Forbes , Julyan Arbel , Hien Duy Nguyen
2023
Preprints, Working Papers, ... hal-04015203v2
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Gaussian Pre-Activations in Neural Networks: Myth or Reality?

Pierre Wolinski , Julyan Arbel
2023
Preprints, Working Papers, ... hal-03933169v2

Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series

Charles K. Assaad , Daria Bystrova , Julyan Arbel , Emilie Devijver , Eric Gaussier
2023
Preprints, Working Papers, ... hal-04500481v1
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Concentration results for approximate Bayesian computation without identifiability

Hien Nguyen , Trungtin Nguyen , Julyan Arbel , Florence Forbes
2023
Preprints, Working Papers, ... hal-03987197v1
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Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review

Minh Tri Lê , Pierre Wolinski , Julyan Arbel
2023
Preprints, Working Papers, ... hal-04296440v1
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Cold Posteriors through PAC-Bayes

Konstantinos Pitas , Julyan Arbel
2022
Preprints, Working Papers, ... hal-03791457v1
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Latent factor models: a tool for dimension reduction in joint species distribution models

Daria Bystrova , Giovanni Poggiato , Julyan Arbel , Wilfried Thuiller
2021
Preprints, Working Papers, ... hal-03149452v1
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Contributed comment on Article by Hahn, Murray, and Carvalho

Daria Bystrova , Julyan Arbel , Thibaud Rahier
2021
Preprints, Working Papers, ... hal-03149459v1
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Comment on Article by Wade and Ghahramani

Julyan Arbel , Riccardo Corradin , Michal Lewandowski
2018
Preprints, Working Papers, ... hal-01950655v1
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Bayesian neural networks increasingly sparsify their units with depth

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo
2018
Preprints, Working Papers, ... hal-01950657v1
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Contributions to Bayesian nonparametric statistic

Julyan Arbel
General Mathematics [math.GM]. Université Paris Dauphine - Paris IX, 2013. English. ⟨NNT : 2013PA090066⟩
Theses tel-01067718v1
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Bayesian Statistical Learning and Applications

Julyan Arbel
Methodology [stat.ME]. Université grenoble Alpes, CNRS, Institut des Géosciences et de l'Environnement, 2019
Habilitation à diriger des recherches tel-02429156v1