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Number of documents

58

Julyan Arbel


You can find:

- my webpage: http://www.julyanarbel.com/

- my CV in English and in French.


Journal articles14 documents

  • Julyan Arbel, Stefano Favaro. Approximating predictive probabilities of Gibbs-type priors. Sankhya A, Springer Verlag, In press, pp.1-21. ⟨10.1007/s13171-019-00187-y⟩. ⟨hal-01693333⟩
  • Hongliang Lu, Julyan Arbel, Florence Forbes. Bayesian nonparametric priors for hidden Markov random fields. Statistics and Computing, Springer Verlag (Germany), 2020, 30, pp.1015-1035. ⟨10.1007/s11222-020-09935-9⟩. ⟨hal-02163046v3⟩
  • Julyan Arbel, Marta Crispino, Stéphane Girard. Dependence properties and Bayesian inference for asymmetric multivariate copulas. Journal of Multivariate Analysis, Elsevier, 2019, 174, pp.104530:1-20. ⟨10.1016/j.jmva.2019.06.008⟩. ⟨hal-01963975v2⟩
  • Caroline Lawless, Julyan Arbel. A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representation. Dependence Modeling, De Gruyter, 2019, 7 (1), pp.45-52. ⟨10.1515/demo-2019-0003⟩. ⟨hal-01950653⟩
  • Julyan Arbel, Pierpaolo de Blasi, Igor Prünster. Stochastic approximations to the Pitman-Yor process. Bayesian Analysis, International Society for Bayesian Analysis, 2019, 14 (3), pp.753-771. ⟨10.1214/18-BA1127⟩. ⟨hal-01950654⟩
  • Olivier Marchal, Julyan Arbel. On the sub-Gaussianity of the Beta and Dirichlet distributions. Electronic Communications in Probability, Institute of Mathematical Statistics (IMS), 2017, 22 (paper no. 54), pp.1-14. ⟨10.1214/17-ECP92⟩. ⟨hal-01521300⟩
  • Julyan Arbel, Stefano Favaro, Bernardo Nipoti, Yee Whye Teh. Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2017, 27, pp.839-858. ⟨10.5705/ss.202015.0250⟩. ⟨hal-01203324⟩
  • Julyan Arbel, Igor Prünster. A moment-matching Ferguson & Klass algorithm. Statistics and Computing, Springer Verlag (Germany), 2017, 27 (1), pp.3-17. ⟨10.1007/s11222-016-9676-8⟩. ⟨hal-01396587⟩
  • Julyan Arbel, Antonio Lijoi, Bernardo Nipoti. Full Bayesian inference with hazard mixture models. Computational Statistics and Data Analysis, Elsevier, 2016, 93, pp.359--372. ⟨10.1016/j.csda.2014.12.003⟩. ⟨hal-01203296⟩
  • Julyan Arbel, Kerrie Mengersen, Judith Rousseau. Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity . Annals of Applied Statistics, Institute of Mathematical Statistics, 2016, 10 (3), pp.1496-1516. ⟨10.1214/16-AOAS944⟩. ⟨hal-01203345⟩
  • Julyan Arbel, Vianney Costemalle. Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienne. Economie et Statistique / Economics and Statistics, INSEE, 2016, 483-484-485, pp.121-149. ⟨hal-01396606⟩
  • Julyan Arbel, Catherine King, Ben Raymond, Tristrom Winsley, Kerrie Mengersen. Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil . Ecology and Evolution, Wiley Open Access, 2015, ⟨10.1002/ece3.1493⟩. ⟨hal-01203289⟩
  • Julyan Arbel, Igor Prünster. Discussion of Sequential quasi Monte Carlo. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2015, 77 (3), pp.559-560. ⟨10.1111/rssb.12104⟩. ⟨hal-01970234⟩
  • Julyan Arbel, Ghislaine Gayraud, Judith Rousseau. Bayesian optimal adaptive estimation using a sieve prior. Scandinavian Journal of Statistics, Wiley, 2013, ⟨10.1002/sjos.12002⟩. ⟨hal-01203280⟩

Conference papers21 documents

  • Fabien Boux, Florence Forbes, Julyan Arbel, Emmanuel Barbier. Estimation de paramètres IRM en grande dimension via une régression inverse. SFRMBM 2020 - 4e congrés de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2020, Strasbourg, France. pp.1. ⟨hal-02428679⟩
  • Fabien Boux, Florence Forbes, Julyan Arbel, Aurélien Delphin, Thomas Christen, et al.. Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning. International Society for Magnetic Resonance in Medicine (ISMRM), Aug 2020, Sidney, Australia. ⟨hal-02922858⟩
  • Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel. Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.6458-6467. ⟨hal-02177151⟩
  • Marta Crispino, Stéphane Girard, Julyan Arbel. Dependence properties and Bayesian inference for asymmetric multivariate copulas. CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom. ⟨hal-02413948⟩
  • Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat. Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩. ⟨hal-01970682v2⟩
  • Fabien Boux, Florence Forbes, Julyan Arbel, Emmanuel Barbier. Dictionary learning via regression: vascular MRI application. CNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-12. ⟨hal-02428647⟩
  • Mariia Vladimirova, Julyan Arbel, Pablo Mesejo. Bayesian neural network priors at the level of units. AABI 2018 - 1st Symposium on Advances in Approximate Bayesian Inference, Dec 2018, Montréal, Canada. pp.1-6. ⟨hal-01950659⟩
  • Julyan Arbel. Introduction to Bayesian nonparametric statistics. Séminaire de Statistique au sommet de Rochebrune, Mar 2018, Megève, France. ⟨hal-01950668⟩
  • Julyan Arbel, Guillaume Kon Kam King, Igor Prünster. A Bayesian Nonparametric Approach to Ecological Risk Assessment. SMPGD 2018 - Workshop on Statistical Methods for Post Genomic Data, Jan 2018, Montpellier, France. ⟨hal-01950669⟩
  • Julyan Arbel. Some distributional properties of Bayesian neural networks. Workshop on Bayesian nonparametrics, Jul 2018, Bordeaux, France. ⟨hal-01950667⟩
  • Julyan Arbel. Bayesian neural network priors at the level of units. CMStat 2018 - 11th International Conference of Computational and Methodological Statistics, Dec 2018, Pisa, Italy. ⟨hal-01950661⟩
  • Florence Forbes, Hongliang Lu, Julyan Arbel. Non parametric Bayesian priors for hidden Markov random fields. JSM 2018 - Joint Statistical Meeting, Jul 2018, Vancouver, Canada. pp.1-38. ⟨hal-01941679⟩
  • Mariia Vladimirova, Julyan Arbel, Pablo Mesejo. Bayesian neural networks become heavier-tailed with depth. NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-7. ⟨hal-01950658⟩
  • Julyan Arbel. Bayesian nonparametric inference for discovery probabilities. YES VIII Workshop on Uncertainty Quantification, Jan 2017, Eindhoven, Netherlands. ⟨hal-01667794⟩
  • Julyan Arbel. Investigating predictive probabilities of Gibbs-type priors. Mathematical Methods of Modern Statistics, Jul 2017, Marseille, France. ⟨hal-01667765⟩
  • Julyan Arbel. Bayesian nonparametric mixture models and clustering. Workshop 'New challenges in statistics for social sciences', Oct 2017, Venise, Italy. ⟨hal-01667755⟩
  • Julyan Arbel. Probabilités de découverte d'espèces: Bayes à la rescousse de Good & Turing. Journées Scientifiques d'Inria, Jun 2017, Sophia Antipolis, France. ⟨hal-01667788⟩
  • Julyan Arbel. Bayesian nonparametric clustering. School of Statistics for Astrophysics: Bayesian methodology, Oct 2017, Autrans, France. ⟨hal-01667760⟩
  • Julyan Arbel. Approximating predictive probabilities of Gibbs-type priors. ERCIM - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom. ⟨hal-01667746⟩
  • Julyan Arbel. Truncation error of a superposed gamma process in a decreasing order representation. NIPS Meeting, Dec 2016, Barcelone, Spain. ⟨hal-01667804⟩
  • Julyan Arbel, Kerrie Mengersen, Judith Rousseau. On diversity under a Bayesian nonparametric dependent model. XLVII Meeting of the Italian Statistical Society, Italian Statistical Society, Jun 2014, Cagliari, Italy. ⟨hal-01203340⟩

Poster communications9 documents

  • Hongliang Lu, Florence Forbes, Julyan Arbel. Bayesian Nonparametric Priors for Graph Structured Data: Application to Image Segmentation. Bayes Comp 2020, Jan 2020, Gainesville, United States. ⟨hal-02423642⟩
  • Aleksandra Malkova, Julyan Arbel, Maria Laura Delle Monache. DATASAFE: understanding Data Accidents for TrAffic SAFEty Acknowledgments. Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1. ⟨hal-01950663⟩
  • Olivier Marchal, Julyan Arbel. Beta and Dirichlet sub-Gaussianity. Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. ⟨hal-01950665⟩
  • Mariia Vladimirova, Julyan Arbel, Pablo Mesejo. Bayesian neural network priors at the level of units. Bayesian Statistics in the Big Data Era, Nov 2018, Marseille, France. pp.1. ⟨hal-01950660⟩
  • Hongliang Lu, Julyan Arbel, Florence Forbes. Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation. IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France. pp.1. ⟨hal-01950666⟩
  • Caroline Lawless, Julyan Arbel. Chinese restaurant process from stick-breaking for Pitman-Yor. Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1. ⟨hal-01950662⟩
  • Julyan Arbel. Bayesian Nonparametric Mixtures Why and How?. IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France. ⟨hal-01950664⟩
  • Julyan Arbel, Jean-Bernard Salomond. Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models. BNP 2017 - 11th Conference on Bayesian NonParametrics, Jun 2017, Paris, France. pp.1. ⟨hal-01667781⟩
  • Didier Fraix-Burnet, Charles Bouveyron, Stéphane Girard, Julyan Arbel. Unsupervised classification in high dimension. European Week of Astronomy and Space Science (EWASS 2017), Jun 2017, Prague, Czech Republic. 2017. ⟨hal-01569733⟩

Book sections4 documents

  • Kerrie Mengersen, Earl Duncan, Julyan Arbel, Clair Alston-Knox, Nicole White. Applications in Industry. Sylvia Fruhwirth-Schnatter; Gilles Celeux; Christian P. Robert. Handbook of mixture analysis, CRC press, pp.1-21, 2019, 9781498763813. ⟨hal-01963798⟩
  • Julyan Arbel. Clustering Milky Way's Globulars: a Bayesian Nonparametric Approach. Statistics for Astrophysics: Bayesian Methodology, pp.113-137, 2018. ⟨hal-01950656⟩
  • Guillaume Kon Kam King, Julyan Arbel, Igor Prünster. A Bayesian Nonparametric Approach to Ecological Risk Assessment. Bayesian Statistics in Action, pp.1-12, 2017. ⟨hal-02966944⟩
  • Julyan Arbel, Antonio Lijoi, Bernardo Nipoti. Bayesian Survival Model based on Moment Characterization. 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⟩. ⟨hal-01203321⟩

Directions of work or proceedings1 document

  • Didier Fraix-Burnet, Stéphane Girard, Julyan Arbel, Jean-Baptiste Marquette. Statistics for Astrophysics: Bayesian Methodology. School of Stattistics for Astrophysics 2017: Bayesian Methodology, Oct 2017, Autrans, France. EDP Sciences, 2018, EDP Sciences Proceedings. ⟨hal-02132985⟩

Other publications1 document

  • Didier Fraix-Burnet, Stéphane Girard, Julyan Arbel, Jean-Baptiste Marquette. Statistics for Astrophysics: Bayesian Methodology. 2018. ⟨hal-01952759⟩

Preprints, Working Papers, ...7 documents

  • Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Barbier. Bayesian inverse regression for vascular magnetic resonance fingerprinting. 2020. ⟨hal-02314026v2⟩
  • Mariia Vladimirova, Stéphane Girard, Hien Nguyen, Julyan Arbel. Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions. 2020. ⟨hal-02545121⟩
  • Julyan Arbel, Riccardo Corradin, Bernardo Nipoti. Dirichlet process mixtures under affine transformations of the data. 2019. ⟨hal-01950652v2⟩
  • Julyan Arbel, Olivier Marchal, Bernardo Nipoti. On the Hurwitz zeta function with an application to the exponential-beta distribution. 2019. ⟨hal-02400451⟩
  • Hien Nguyen, Julyan Arbel, Hongliang Lu, Florence Forbes. Approximate Bayesian computation via the energy statistic. 2019. ⟨hal-02399934⟩
  • Mariia Vladimirova, Julyan Arbel, Pablo Mesejo. Bayesian neural networks increasingly sparsify their units with depth. 2018. ⟨hal-01950657⟩
  • Julyan Arbel, Riccardo Corradin, Michal Lewandowski. Comment on Article by Wade and Ghahramani. 2018. ⟨hal-01950655⟩

Habilitation à diriger des recherches1 document

  • Julyan Arbel. Bayesian Statistical Learning and Applications. Methodology [stat.ME]. Université grenoble Alpes, CNRS, Institut des Géosciences et de l'Environnement, 2019. ⟨tel-02429156⟩