Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ismaël Castillo"'
Publikováno v:
Annals of Tourism Research Empirical Insights, Vol 5, Iss 2, Pp 100158- (2024)
This study aimed to conduct a systematic literature review using the standard PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) as integrative review, and deductive content analysis to unravel the components and resulting ar
Externí odkaz:
https://doaj.org/article/577712a43ddc496e98f8068ce8abb42f
Publikováno v:
Electronic Journal of Statistics. 16
Publikováno v:
Electronic Journal of Statistics. 16
Autor:
Ismaël Castillo, Romain Mismer
Publikováno v:
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. 57
Dans le modele d’estimation de densite, la question de l’inference adaptative est consideree, au moyen de lois a priori de type arbres de Polya. Une classe de lois a priori a structure d’arbre, appelee “spike-and-slab Polya trees”, est intr
Autor:
Ismaël Castillo
This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theore
Autor:
Botond Szabo, Ismaël Castillo
Publikováno v:
Bernoulli 26, no. 1 (2020), 127-158
In the sparse normal means model, coverage of adaptive Bayesian posterior credible sets associated to spike and slab prior distributions is considered. The key sparsity hyperparameter is calibrated via marginal maximum likelihood empirical Bayes. Fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89fb676ef0e88dae3d130cca1d274366
http://hdl.handle.net/11565/4042459
http://hdl.handle.net/11565/4042459
Autor:
Ismaël Castillo, Veronika Ročková
This work affords new insights into Bayesian CART in the context of structured wavelet shrinkage. The main thrust is to develop a formal inferential framework for Bayesian tree-based regression. We reframe Bayesian CART as a g-type prior which depart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7caa21c391b6aad046398114eba69da
http://arxiv.org/abs/1910.07635
http://arxiv.org/abs/1910.07635
Autor:
Romain Mismer, Ismaël Castillo
Publikováno v:
Electron. J. Statist. 12, no. 2 (2018), 3953-4001
In the sparse normal means model, convergence of the Bayesian posterior distribution associated to spike and slab prior distributions is considered. The key sparsity hyperparameter is calibrated via marginal maximum likelihood empirical Bayes. The pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d33df38c0f1eef55e2051c1e77b4e9eb
https://projecteuclid.org/euclid.ejs/1544238109
https://projecteuclid.org/euclid.ejs/1544238109
Autor:
Ismaël Castillo, Etienne Roquain
Publikováno v:
Ann. Statist. 48, no. 5 (2020), 2548-2574
This paper explores a connection between empirical Bayes posterior distributions and false discovery rate (FDR) control. In the Gaussian sequence model, this work shows that empirical Bayes-calibrated spike and slab posterior distributions allow a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3de735fbb8d42d9a3db4632172de5d0
Autor:
Ismaël Castillo
Publikováno v:
Ann. Inst. H. Poincaré Probab. Statist. 53, no. 4 (2017), 2074-2102
Pólya trees form a popular class of prior distributions used in Bayesian nonparametrics. For some choice of parameters, Pólya trees are prior distributions on density functions. In this paper we carry out a frequentist analysis of the induced poste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6807b2954cf33ea4f29991e671f9c2f8
https://projecteuclid.org/euclid.aihp/1511773739
https://projecteuclid.org/euclid.aihp/1511773739