Test: An Official Journal of the Spanish Society of Statistics and Operations Research
Artículo
Data integration via analysis of subspaces (DIVAS)
Jack Prothero, Meilei Jiang, Jan Hannig, Quoc Tran Dinh, Andrew Ackerman, J. S. Marron
págs. 633-674
Comments on: Data integration via analysis of subspaces (DIVAS)
Irina Gaynanova, Renat Sergazinov
págs. 675-682
Comments on I: Data integration via analysis of subspaces (DIVAS)
Fred Godtliebsen, Eirik Myrvoll Nilsen, Lasse Holmström
págs. 683-685
Comments on II: Data integration via analysis of subspaces (DIVAS)
Hai Shu, Hongtu Zhu
págs. 686-688
Comments on III: Data integration via analysis of subspaces (DIVAS)
Ling Zhou, Peter X. K. Song
págs. 689-692
Rejoinder on: Data integration via analysis of subspaces (DIVAS)
Jack Prothero, Meilei Jiang, Jan Hannig, Quoc Tran Dinh, Andrew Ackerman, J. S. Marron
págs. 693-696
Bayesian sample size determination for detecting heterogeneity in multi-site replication studies
Konstantinos Bourazas, Guido Consonni, Laura Deldossi
págs. 697-716
págs. 717-730
págs. 731-751
The orthogonal skew model: computationally efficient multivariate skew-normal and skew-t distributions with applications to model-based clustering
Ryan P. Browne, Jeffrey L. Andrews
págs. 752-785
Yang Liu, Yukun Liu, Pengfei Li, Siquan Zhang
págs. 786-808
Multiple change point detection for high-dimensional data
Wenbiao Zhao, Lixing Zhu, Falong Tan
págs. 809-846
Testing covariance structures belonging to a quadratic subspace under a doubly multivariate model
Katarzyna Filipiak, Mateusz John, Yuli Liang
págs. 847-876
Privacy-preserving parametric inference for spatial autoregressive model
Zhijian Wang, Yunquan Song
págs. 877-896
Partly linear instrumental variables regressions without smoothing on the instruments
Jean-Pierre Florens, Elia Lapenta
págs. 897-920
A new sufficient dimension reduction method via rank divergence
Tianqing Liu, Danping Li, Fengjiao Ren, Jianguo Sun, Xiaohui Yuan
págs. 921-950
págs. 951-985
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