Journal: Statistics and Computing

Volume 30, Issue 4

731 -- 748Hien Duy Nguyen, Florence Forbes, Geoffrey J. McLachlan. Mini-batch learning of exponential family finite mixture models
749 -- 770Andrea Ongaro, Sonia Migliorati, Roberto Ascari. A new mixture model on the simplex
771 -- 781Peijun Sang, Jiguo Cao. Functional single-index quantile regression models
783 -- 798Eduardo F. Mendes, Christopher K. Carter, David Gunawan, Robert Kohn. A flexible particle Markov chain Monte Carlo method
799 -- 816Jackie S. T. Wong, Jonathan J. Forster, Peter W. F. Smith. Properties of the bridge sampler with a focus on splitting the MCMC sample
817 -- 837Denis Dresvyanskiy, Tatiana Karaseva, Vitalii Makogin, Sergei Mitrofanov, Claudia Redenbach, Evgeny Spodarev. Detecting anomalies in fibre systems using 3-dimensional image data
839 -- 853Pallavi Ray, Debdeep Pati, Anirban Bhattacharya. Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors
855 -- 869Bruno Santos, Thomas Kneib. Noncrossing structured additive multiple-output Bayesian quantile regression models
871 -- 886Keiji Takai. Incomplete-data Fisher scoring method with steplength adjustment
887 -- 905Lifeng Ye, Alexandros Beskos, Maria De Iorio, Jie Hao. Monte Carlo co-ordinate ascent variational inference
907 -- 932Assyr Abdulle, Giacomo Garegnani. Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration
933 -- 951Weichang Yu 0001, John T. Ormerod, Michael Stewart. Variational discriminant analysis with variable selection
953 -- 972Raoul Müller, Dominic Schuhmacher, Jorge Mateu. Metrics and barycenters for point pattern data
973 -- 997Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, S. Samsonov. Variance reduction for Markov chains with application to MCMC
999 -- 1014Katya Mauff, Ewout W. Steyerberg, Isabella Kardys, Eric Boersma, Dimitris Rizopoulos. Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach
1015 -- 1035Hongliang Lü, Julyan Arbel, Florence Forbes. Bayesian nonparametric priors for hidden Markov random fields
1037 -- 1056Qiang Liu, Xin T. Tong. Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations
1057 -- 1073G. S. Rodrigues, David J. Nott, Scott A. Sisson. Likelihood-free approximate Gibbs sampling
1075 -- 1090Aijun Zhang, Hengtao Zhang, Guosheng Yin. Adaptive iterative Hessian sketch via A-optimal subsampling
1091 -- 1111José L. Torrecilla, Carlos Ramos-Carreño, Manuel Sánchez-Montañés, Alberto Suárez 0001. Optimal classification of Gaussian processes in homo- and heteroscedastic settings
1113 -- 1138Rahul Mazumder, Diego Saldana, Haolei Weng. Matrix completion with nonconvex regularization: spectral operators and scalable algorithms
1139 -- 1153Pierre Alquier, Karine Bertin, Paul Doukhan, Rémy Garnier. High-dimensional VAR with low-rank transition
1155 -- 1166Thomas Grundy, Rebecca Killick, Gueorgui Mihaylov. High-dimensional changepoint detection via a geometrically inspired mapping