Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching Benn MacdonaldDirk Husmeier OriginalPaper Open access 14 December 2018 Pages: 853 - 867
A constrained regression model for an ordinal response with ordinal predictors Javier EspinosaChristian Hennig OriginalPaper Open access 11 December 2018 Pages: 869 - 890
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation Edward HigsonWill HandleyAnthony Lasenby OriginalPaper Open access 03 December 2018 Pages: 891 - 913
Inference for ETAS models with non-Poissonian mainshock arrival times Aleksandar A. KolevGordon J. Ross OriginalPaper Open access 13 December 2018 Pages: 915 - 931
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins D. GunawanM.-N. TranR. Kohn OriginalPaper 10 December 2018 Pages: 933 - 946
Exact MCMC with differentially private moves Sinan YıldırımBeyza Ermiş OriginalPaper 01 January 2019 Pages: 947 - 963
Information preserving regression-based tools for statistical disclosure control Øyvind Langsrud OriginalPaper 02 January 2019 Pages: 965 - 976
A novel Bayesian approach for latent variable modeling from mixed data with missing values Ruifei CuiIoan Gabriel BucurTom Heskes OriginalPaper Open access 08 January 2019 Pages: 977 - 993
Resample-smoothing of Voronoi intensity estimators M. Mehdi MoradiOttmar CronieAdrian Baddeley OriginalPaper Open access 19 January 2019 Pages: 995 - 1010
Clustering of interval time series Elizabeth Ann MaharajPaulo TelesPaula Brito OriginalPaper 21 January 2019 Pages: 1011 - 1034
Convergence analysis of herded-Gibbs-type sampling algorithms: effects of weight sharing Hiroshi YamashitaHideyuki Suzuki OriginalPaper Open access 22 January 2019 Pages: 1035 - 1053
Consistency of the maximum likelihood estimator in seasonal hidden Markov models Augustin Touron OriginalPaper 12 February 2019 Pages: 1055 - 1075
Structured priors for sparse probability vectors with application to model selection in Markov chains Matthew HeinerAthanasios KottasStephan Munch OriginalPaper 12 February 2019 Pages: 1077 - 1093
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation Marco ScutariClaudia VitoloAllan Tucker OriginalPaper Open access 15 February 2019 Pages: 1095 - 1108
Multiple changepoint detection in categorical data streams Joshua PlasseNiall M. Adams OriginalPaper Open access 15 February 2019 Pages: 1109 - 1125
Antithetic and Monte Carlo kernel estimators for partial rankings M. LomelíM. RowlandZ. Ghahramani OriginalPaper Open access 21 February 2019 Pages: 1127 - 1147
Efficient sampling of conditioned Markov jump processes Andrew GolightlyChris Sherlock OriginalPaper Open access 13 February 2019 Pages: 1149 - 1163
Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks Miaoqi LiEmily L. Kang OriginalPaper 14 February 2019 Pages: 1165 - 1179
