Jan Beyersmann, Susanna Di Termini, Markus Pauly
págs. 387-402
Stefano Baraldo, Francesca Ieva, Anna Maria Paganoni, Valeria Vitelli
págs. 403-416
Testing Semiparametric Hypotheses in Locally Stationary Processes.
Philip Preuss, Mathias Vetter, Holger Dette
págs. 417-437
Testing Monotonicity of Regression Functions - An Empirical Process Approach.
Melanie Birke, Natalie Neumeyer
págs. 438-454
Measuring the Discrepancy of a Parametric Model via Local Polynomial Smoothing.
Anouar El Ghouch, Marc G. Genton, Taoufik Bouezmarni
págs. 455-470
Characteristic Function-based Semiparametric Inference for Skew-symmetric Models.
Cornelis J. Potgieter, Marc G. Genton
págs. 471-490
Component Selection in the Additive Regression Model.
Xia Cui, Heng Peng, Songqiao Wen, Lixing Zhu
págs. 491-510
Lévy-based Modelling in Brain Imaging.
Kristjana Ýr Jónsdóttir, Anders Ronn-Nielsen, Kim Mouridsen, Eva Bjorn Vedel Jensen
págs. 511-529
Joseph B. Lang
págs. 530-548
Bayesian Optimal Adaptive Estimation Using a Sieve Prior.
Julyan Arbel, Ghislaine Gayraud, Judith Rousseau
págs. 549-570
págs. 571-591
págs. 592-618
págs. 619-646
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