Mini-batch learning of exponential family finite mixture models Hien D. NguyenFlorence ForbesGeoffrey J. McLachlan OriginalPaper 10 January 2020 Pages: 731 - 748
A new mixture model on the simplex Andrea OngaroSonia MiglioratiRoberto Ascari OriginalPaper 10 January 2020 Pages: 749 - 770
Functional single-index quantile regression models Peijun SangJiguo Cao OriginalPaper 13 January 2020 Pages: 771 - 781
A flexible particle Markov chain Monte Carlo method Eduardo F. MendesChristopher K. CarterRobert Kohn OriginalPaper 14 January 2020 Pages: 783 - 798
Properties of the bridge sampler with a focus on splitting the MCMC sample Jackie S. T. WongJonathan J. ForsterPeter W. F. Smith OriginalPaper 18 January 2020 Pages: 799 - 816
Detecting anomalies in fibre systems using 3-dimensional image data Denis DresvyanskiyTatiana KarasevaEvgeny Spodarev OriginalPaper Open access 28 January 2020 Pages: 817 - 837
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors Pallavi RayDebdeep PatiAnirban Bhattacharya OriginalPaper 30 January 2020 Pages: 839 - 853
Noncrossing structured additive multiple-output Bayesian quantile regression models Bruno SantosThomas Kneib OriginalPaper 03 February 2020 Pages: 855 - 869
Incomplete-data Fisher scoring method with steplength adjustment Keiji Takai OriginalPaper Open access 05 February 2020 Pages: 871 - 886
Monte Carlo co-ordinate ascent variational inference Lifeng YeAlexandros BeskosJie Hao OriginalPaper Open access 14 February 2020 Pages: 887 - 905
Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration Assyr AbdulleGiacomo Garegnani OriginalPaper 14 February 2020 Pages: 907 - 932
Variational discriminant analysis with variable selection Weichang YuJohn T. OrmerodMichael Stewart OriginalPaper 19 February 2020 Pages: 933 - 951
Metrics and barycenters for point pattern data Raoul MüllerDominic SchuhmacherJorge Mateu OriginalPaper Open access 24 February 2020 Pages: 953 - 972
Variance reduction for Markov chains with application to MCMC D. BelomestnyL. IosipoiS. Samsonov OriginalPaper 28 February 2020 Pages: 973 - 997
Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach Katya MauffEwout SteyerbergDimitris Rizopoulos OriginalPaper Open access 04 March 2020 Pages: 999 - 1014
Bayesian nonparametric priors for hidden Markov random fields Hongliang LüJulyan ArbelFlorence Forbes OriginalPaper 04 March 2020 Pages: 1015 - 1035
Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations Qiang LiuXin T. Tong OriginalPaper 06 March 2020 Pages: 1037 - 1056
Likelihood-free approximate Gibbs sampling G. S. RodriguesDavid J. NottS. A. Sisson OriginalPaper 11 March 2020 Pages: 1057 - 1073
Adaptive iterative Hessian sketch via A-optimal subsampling Aijun ZhangHengtao ZhangGuosheng Yin OriginalPaper 11 March 2020 Pages: 1075 - 1090
Optimal classification of Gaussian processes in homo- and heteroscedastic settings José L. TorrecillaCarlos Ramos-CarreñoAlberto Suárez OriginalPaper 12 March 2020 Pages: 1091 - 1111
Matrix completion with nonconvex regularization: spectral operators and scalable algorithms Rahul MazumderDiego SaldanaHaolei Weng OriginalPaper 14 March 2020 Pages: 1113 - 1138
High-dimensional VAR with low-rank transition Pierre AlquierKarine BertinRémy Garnier OriginalPaper 16 March 2020 Pages: 1139 - 1153
High-dimensional changepoint detection via a geometrically inspired mapping Thomas GrundyRebecca KillickGueorgui Mihaylov OriginalPaper Open access 28 March 2020 Pages: 1155 - 1166