463 | -- | 473 | Yves F. Atchadé. A computational framework for empirical Bayes inference |
475 | -- | 481 | Yaming Yu. D-optimal designs via a cocktail algorithm |
483 | -- | 499 | María Xosé Rodríguez-Álvarez, Javier Roca-Pardiñas, Carmen Cadarso-Suárez. ROC curve and covariates: extending induced methodology to the non-parametric framework |
501 | -- | 509 | Chun-Chao Wang, Yi-Ting Hwang. A new functional statistic for multivariate normality |
511 | -- | 522 | Cinzia Viroli. Finite mixtures of matrix normal distributions for classifying three-way data |
523 | -- | 536 | Gabriele Soffritti, Giuliano Galimberti. Multivariate linear regression with non-normal errors: a solution based on mixture models |
537 | -- | 553 | Julien Chiquet, Yves Grandvalet, Christophe Ambroise. Inferring multiple graphical structures |
555 | -- | 568 | Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal. Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo |
569 | -- | 583 | Yi-Ting Hwang, Shih-Kai Chu, Shyh-Tyan Ou. Evaluations of FDR-controlling procedures in multiple hypothesis testing |
585 | -- | 599 | Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Iscar. Exploring the number of groups in robust model-based clustering |
601 | -- | 612 | Jun Ma, Sigurbjorg Gudlaugsdottir, Graham Wood. Generalized EM estimation for semi-parametric mixture distributions with discretized non-parametric component |
613 | -- | 632 | Sylvain Arlot, Alain Celisse. Segmentation of the mean of heteroscedastic data via cross-validation |
633 | -- | 647 | Luca Martino, Joaquín Míguez. A generalization of the adaptive rejection sampling algorithm |
649 | -- | 656 | Brendon J. Brewer, Lívia B. Pártay, Gábor Csányi. Diffusive nested sampling |
657 | -- | 670 | Gregory Gurevich, Albert Vexler. A two-sample empirical likelihood ratio test based on samples entropy |
671 | -- | 681 | Haeran Cho, Piotr Fryzlewicz. Multiscale interpretation of taut string estimation and its connection to Unbalanced Haar wavelets |