You can find my Google Citations page, ResearchGate page, arXiv page, MathSciNet page, zbMATH page, HAL page, ORCID page.
My ha-index is 80, which is considered to be 'excellent' according to the official ha-index webpage.

Collaborators

FranceJudith RousseauGhislaine GayraudChristian Robert, Jean-Bernard Salomond, Vianney Costemalle, Florence Forbes, Stéphane Girard, Olivier Marchal, Gildas Mazo
ItalyAntonio LijoiIgor PrünsterStefano FavaroPierpaolo de Blasi, Guillaume Kon Kam King
Britain and IrelandBernardo NipotiYee Whye Teh
AustraliaKerrie MengersenBen RaymondCatherine KingTristrom Winsley
USA: Pierre Jacob, Stephen Walker
Mexique: Ramsès H. Mena

Publications, work in progress, preprints, proceedings, discussions, book chapters, theses...

[35] Julyan Arbel. Discussion of “Sparse graphs using exchangeable random measures” by Caron and Fox. Journal of the Royal Statistical Society. Series B, 79, 2017. [ arXiv | pdf ]
[34] Julyan Arbel and Stefano Favaro. Approximating predictive probabilities of Gibbs-type priors. Submitted, 2017. [ arXiv ]
[33] Olivier Marchal and Julyan Arbel. On the sub-Gaussianity of the Beta and Dirichlet distributions. Submitted, 2017. [ arXiv ]
[32] Julyan Arbel and Igor Prünster. A moment-matching Ferguson & Klass algorithm. Statistics and Computing, 27(1):3--17, 2017. [ DOI | arXiv | HAL | journal ]
[31] Julyan Arbel, Stefano Favaro, Bernardo Nipoti, and Yee Whye Teh. Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics. Statistica Sinica, 27:839--858, 2017. [ DOI | arXiv | HAL | journal | blog ]
[30] Guillaume Kon Kam King, Julyan Arbel, and Igor Prünster. Bayesian Statistics in Action, chapter A Bayesian nonparametric approach to ecological risk assessment, pages 151--159. Springer Proceedings in Mathematics & Statistics, Volume 194. Springer International Publishing, Editors: Raffaele Argiento et al., 2017. [ DOI | Springer ]
[29] Julyan Arbel and Igor Prünster. Bayesian Statistics in Action, chapter On the truncation error of a superposed gamma process, pages 11--19. Springer Proceedings in Mathematics & Statistics, Volume 194. Springer International Publishing, Editors: Raffaele Argiento et al., 2017. [ DOI | Springer ]
[28] Stéphane Girard, Julyan Arbel, and Gildas Mazo. On iterative constructions of copulas. Work in progress, 2017.
[27] Guillaume Kon Kam King, Julyan Arbel, and Igor Prünster. Species Sensitivity Distribution revisited: a Bayesian nonparametric approach. Work in progress, 2017.
[26] Julyan Arbel, Pierpaolo De Blasi, and Igor Prünster. ε-approximation to the Pitman--Yor process. Work in progress, 2017.
[25] Julyan Arbel, Igor Prünster, and Stephen G. Walker. Asymptotic analysis of normalized random measures with independent increments. Work in progress, 2017.
[24] Julyan Arbel, Ernesto Barrientos, Guillaume Kon Kam King, Antonio Lijoi, Luis Nieto-Barajas, and Igor Prünster. BNPdensity: an R package for posterior sampling in Bayesian nonparametric density models. Work in progress, 2017.
[23] Julyan Arbel and Christian P. Robert. Discussion of “Statistical modelling of citation exchange between statistics journals” by Varin, Cattelan and Firth. Journal of the Royal Statistical Society. Series A, 179:41--42, 2016. [ journal | pdf | blog ]
[22] Julyan Arbel. Faà di Bruno's note on eponymous formula, trilingual version. arXiv, 2016. [ arXiv | blog ]
[21] Julyan Arbel, Kerrie Mengersen, and Judith Rousseau. Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity. Annals of Applied Statistics, 10(3):1496--1516, 2016. [ DOI | arXiv | HAL | journal ]
[20] Julyan Arbel and Vianney Costemalle. Estimation of immigration flows : reconciling two sources by a Bayesian approach (in French). Économie et Statistique, 483-484-485:121--149, 2016. [ HAL | journal | pdf ]
[19] Julyan Arbel, Antonio Lijoi, and Bernardo Nipoti. Full Bayesian inference with hazard mixture models. Computational Statistics & Data Analysis, 93:359--372, 2016. [ DOI | arXiv | HAL | journal | blog ]
[18] Julyan Arbel and Jean-Bernard Salomond. Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models. NIPS Practical Bayesian Nonparametrics workshop, 2016. [ HAL | journal ]
[17] Julyan Arbel and Igor Prünster. Truncation error of a superposed gamma process in a decreasing order representation. NIPS Advances in Approximate Bayesian Inference workshop, 2016. [ HAL | journal ]
[16] Guillaume Kon Kam King, Julyan Arbel, and Igor Prünster. Bayesian Nonparametric Density Estimation in Ecotoxicology. 48e Journées de la Statistique de la SFdS, 2016. [ pdf ]
[15] Julyan Arbel, Stefano Favaro, Bernardo Nipoti, and Yee Whye Teh. Discovery Probabilities when Uncertainty Matters. 48e Journées de la Statistique de la SFdS, 2016. [ pdf ]
[14] Julyan Arbel, Stefano Favaro, Bernardo Nipoti, and Yee Whye Teh. On Bayesian nonparametric inference for discovery probabilities. Proceedings of the 48th Meeting of the Italian Statistical Society, 2016.
[13] Julyan Arbel and Igor Prünster. Discussion of “Sequential Quasi-Monte Carlo” by Gerber and Chopin. Journal of the Royal Statistical Society. Series B, 77:559--560, 2015. [ arXiv | HAL ]
[12] Julyan Arbel, Kerrie Mengersen, Ben Raymond, Tristrom Winsley, and Catherine King. 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, 5(13):2633--2645, 2015. [ DOI | HAL | journal | pdf ]
[11] Julyan Arbel, Antonio Lijoi, and Bernardo Nipoti. Bayesian Statistics from Methods to Models and Applications, chapter Bayesian Survival Model based on Moment Characterization, pages 3--14. Springer Proceedings in Mathematics & Statistics, Volume 126. Springer International Publishing, Editors: Sylvia Frühwirth-Schnatter et al., 2015. [ DOI | arXiv | HAL | blog | Springer ]
[10] Julyan Arbel, Kerrie Mengersen, and Judith Rousseau. On diversity under a Bayesian nonparametric dependent model. Proceedings of the 47th Meeting of the Italian Statistical Society, 2014. [ HAL | pdf ]
[9] Julyan Arbel and Bernardo Nipoti. Discussion of “Bayesian Nonparametric Inference--Why and How” by Müller and Mitra. Bayesian Analysis, 8(02):326--328, 2013. [ pdf ]
[8] Julyan Arbel, Ghislaine Gayraud, and Judith Rousseau. Bayesian optimal adaptive estimation using a sieve prior. Scandinavian Journal of Statistics, 40(3):549--570, 2013. [ DOI | arXiv | HAL | journal ]
[7] Julyan Arbel. Contributions to Bayesian nonparametric statistics. PhD thesis, Université Paris-Dauphine, 2013. [ HAL | these.fr | pdf ]
[6] Julyan Arbel and Pierre Jacob. Analyse critique d'une peinture abstraite. Variances, 42:56--58, 2011. [ journal | pdf ]
[5] Christian P. Robert and Julyan Arbel. Discussion of “Sparse Bayesian regularization and prediction” by Polson and Scott. Bayesian Statistics 9, 2009. [ DOI | book | pdf ]
[4] Julyan Arbel. La promotion 2008 tire son épingle du jeu face à la crise. Variances, 36:6--8, 2009. [ journal | pdf ]
[3] Julyan Arbel. Nonparametric estimation of level sets with simulations, under supervision of Prof. Judith Rousseau and Prof. Ghislaine Gayraud, Université Paris-Dauphine, France. Master's thesis, 2008. [ pdf ]
[2] Julyan Arbel. Intrinsic Bayesian inference of the positive predictive value, under supervision of Prof. José-Miguel Bernardo, Universitat de València, Spain. Master's thesis, 2007. [ pdf ]
[1] Julyan Arbel. Arc presentations of knots and links, under supervision of Prof. Hugh Morton, University of Liverpool, United-Kingdom. Stage d'Option de l'École Polytechnique, 2006. [ pdf ]

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