Journal: Comput. Stat.

Volume 31, Issue 2

409 -- 424A. H. M. Mahbub Latif, Edgar Brunner. A genetic algorithm for designing microarray experiments
425 -- 449Bo Zhang, Wei Liu, Hui Zhang, Qihui Chen, Zhiwei Zhang. Composite likelihood and maximum likelihood methods for joint latent class modeling of disease prevalence and high-dimensional semicontinuous biomarker data
451 -- 464Soeun Kim, Jae Youn Ahn, Woojoo Lee. On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector
465 -- 495Alexander Munteanu, Max Wornowizki. Correcting statistical models via empirical distribution functions
497 -- 511Wangli Xu, Wei Yu, Zaixing Li. Confidence interval estimation by a joint pivot method
513 -- 531Riccardo De Bin. mboost
533 -- 543Xuefei Mi, H. Friedrich Utz, Albrecht E. Melchinger. Selectiongain: an R package for optimizing multi-stage selection
545 -- 557P. J. J. Luukko, J. Helske, Eero Räsänen. Introducing libeemd: a program package for performing the ensemble empirical mode decomposition
559 -- 577Ivo D. Dinov, Kyle Siegrist, Dennis K. Pearl, Alexandr A. Kalinin, Nicolas Christou. Distributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions
579 -- 608Mauro Bernardi, Leopoldo Catania. Comparison of Value-at-Risk models using the MCS approach
609 -- 641Yandan Yang, Hon Keung Tony Ng, Narayanaswamy Balakrishnan 0001. A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature
643 -- 669Tao Zhang, Joseph E. Cavanaugh. A multistage algorithm for best-subset model selection based on the Kullback-Leibler discrepancy
671 -- 691Xiaoping Shi, Xiang-Sheng Wang, Dongwei Wei, Yuehua Wu. A sequential multiple change-point detection procedure via VIF regression
693 -- 707Jinyi Yuan, Peixin Zhao, Weiguo Zhang. Semiparametric variable selection for partially varying coefficient models with endogenous variables
709 -- 728Vivekananda Roy. Improving efficiency of data augmentation algorithms using Peskun's theorem
729 -- 748Alberto Baccini, Lucio Barabesi, Luisa Stracqualursi. Random variate generation and connected computational issues for the Poisson-Tweedie distribution
749 -- 770George Kalema, Geert Molenberghs, Wondwosen Kassahun. Second-order generalized estimating equations for correlated count data
771 -- 798Adelchi Azzalini, Giovanna Menardi. Density-based clustering with non-continuous data
799 -- 827Philip L. H. Yu, Paul H. Lee, S. F. Cheung, Esther Y. Y. Lau, Doris S. Y. Mok, Harry C. Hui. Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians