Journal: Statistics and Computing

Volume 30, Issue 6

1573 -- 1590Claes Andersson, Tomás Mrkvicka. Inference for cluster point processes with over- or under-dispersed cluster sizes
1591 -- 1607Antonio Lijoi, Igor Prünster, Tommaso Rigon. Sampling hierarchies of discrete random structures
1609 -- 1627Andrew Zammit Mangion, Jonathan Rougier. Multi-scale process modelling and distributed computation for spatial data
1629 -- 1643Aude Sportisse, Claire Boyer, Julie Josse. Imputation and low-rank estimation with Missing Not At Random data
1645 -- 1663Ömer Deniz Akyildiz, Dan Crisan, Joaquín Míguez. Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization
1665 -- 1689Chiheb Ben Hammouda, Nadhir Ben Rached, Raúl Tempone. Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks
1691 -- 1705Georg Hahn, Paul Fearnhead, Idris A. Eckley. BayesProject: Fast computation of a projection direction for multivariate changepoint detection
1707 -- 1723Angshuman Roy, Soham Sarkar, Anil Kumar Ghosh 0001, Alok Goswami. On some consistent tests of mutual independence among several random vectors of arbitrary dimensions
1725 -- 1739Estelle Kuhn, Catherine Matias, Tabea Rebafka. Properties of the stochastic approximation EM algorithm with mini-batch sampling
1741 -- 1758David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran. Subsampling sequential Monte Carlo for static Bayesian models
1759 -- 1778Aaron P. Lowther, Paul Fearnhead, Matthew A. Nunes, Kjeld Jensen. Semi-automated simultaneous predictor selection for regression-SARIMA models
1779 -- 1790Daniel Ahfock, Geoffrey J. McLachlan. An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified
1791 -- 1816Hans Kersting, Timothy John Sullivan, Philipp Hennig. Convergence rates of Gaussian ODE filters

Volume 30, Issue 5

1167 -- 1182Shanika L. Wickramasuriya, Berwin A. Turlach, Rob J. Hyndman. Optimal non-negative forecast reconciliation
1183 -- 1208S. G. J. Senarathne, Christopher C. Drovandi, James M. McGree. A Laplace-based algorithm for Bayesian adaptive design
1209 -- 1220Haixu Wang, Jiguo Cao. Estimating time-varying directed neural networks
1221 -- 1239Ottmar Cronie, M. Mehdi Moradi, Jorge Mateu. Inhomogeneous higher-order summary statistics for point processes on linear networks
1241 -- 1254Francesco Sanna Passino, Nicholas A. Heard. Classification of periodic arrivals in event time data for filtering computer network traffic
1255 -- 1272Linda S. L. Tan, Aishwarya Bhaskaran, David J. Nott. Conditionally structured variational Gaussian approximation with importance weights
1273 -- 1289Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti. The conditional censored graphical lasso estimator
1291 -- 1307Francesco Sanna Passino, Nicholas A. Heard. Bayesian estimation of the latent dimension and communities in stochastic blockmodels
1309 -- 1324Mirai Igarashi, Nobuhiko Terui. Characterization of topic-based online communities by combining network data and user generated content
1325 -- 1345Joonha Park, Yves Atchadé. Markov chain Monte Carlo algorithms with sequential proposals
1347 -- 1361Fadhel Ayed, Marco Battiston, Federico Camerlenghi. An information theoretic approach to post randomization methods under differential privacy
1363 -- 1380Luis Angel García-Escudero, Agustín Mayo-Íscar, Marco Riani. Model-based clustering with determinant-and-shape constraint
1381 -- 1402Ajay Jasra, Fangyuan Yu, Jeremy Heng. Multilevel particle filters for the non-linear filtering problem in continuous time
1419 -- 1432Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice. Generalised joint regression for count data: a penalty extension for competitive settings
1433 -- 1457Christian Soize, Roger G. Ghanem, Christophe Desceliers. Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
1459 -- 1477Thomas Whitaker, Boris Beranger, Scott A. Sisson. Composite likelihood methods for histogram-valued random variables
1497 -- 1522Joonha Park, Edward L. Ionides. Inference on high-dimensional implicit dynamic models using a guided intermediate resampling filter
1523 -- 1544Serhat Emre Akhanli, Christian Hennig. Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes

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

Volume 30, Issue 3

485 -- 506Panagiotis Papastamoulis. Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components
507 -- 524Michael B. Giles, Mateusz B. Majka, Lukasz Szpruch, Sebastian J. Vollmer, Konstantinos C. Zygalakis. Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations
525 -- 541Mohamed Reda El Amri, Céline Helbert, Olivier Lepreux, Miguel Munoz Zuniga, Clémentine Prieur, Delphine Sinoquet. Data-driven stochastic inversion via functional quantization
543 -- 557Ziwen An, David J. Nott, Christopher C. Drovandi. Robust Bayesian synthetic likelihood via a semi-parametric approach
559 -- 570Jukka Sirén, Samuel Kaski. Local dimension reduction of summary statistics for likelihood-free inference
571 -- 586Georg Hahn. Optimal allocation of Monte Carlo simulations to multiple hypothesis tests
587 -- 602Alvin J. K. Chua. Sampling from manifold-restricted distributions using tangent bundle projections
603 -- 625Sergey Dolgov, Karim Anaya-Izquierdo, Colin Fox, Robert Scheichl. Approximation and sampling of multivariate probability distributions in the tensor train decomposition
627 -- 648Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec. Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
649 -- 662Achmad Choiruddin, Francisco Cuevas-Pacheco, Jean-François Coeurjolly, Rasmus Waagepetersen. Regularized estimation for highly multivariate log Gaussian Cox processes
663 -- 676Richard G. Everitt, Richard Culliford, Felipe J. Medina-Aguayo, Daniel J. Wilson. Sequential Monte Carlo with transformations
677 -- 695Eliana Christou. Central quantile subspace
697 -- 719Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M. Hill. High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
721 -- 730Changye Wu, Christian P. Robert. Coordinate sampler: a non-reversible Gibbs-like MCMC sampler

Volume 30, Issue 2

209 -- 220Matthew Price-Williams, Nicholas A. Heard. Nonparametric self-exciting models for computer network traffic
221 -- 236Manuele Leonelli, Dani Gamerman. Semiparametric bivariate modelling with flexible extremal dependence
237 -- 253Andrew Glaws, Paul G. Constantine, R. Dennis Cook. Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments
255 -- 277Luca Greco 0004, Claudio Agostinelli. Weighted likelihood mixture modeling and model-based clustering
279 -- 289David Rügamer, Sonja Greven. 2-Boosting
291 -- 304Sheng Ren, Emily L. Kang, Jason L. Lu. MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression
305 -- 330Ömer Deniz Akyildiz, Joaquín Míguez. Nudging the particle filter
331 -- 349Gang-Hoo Kim, Sung-Ho Kim. Marginal information for structure learning
351 -- 376Daniel Andrade, Akiko Takeda, Kenji Fukumizu. Robust Bayesian model selection for variable clustering with the Gaussian graphical model
377 -- 404Tijana Radivojevic, Elena V. Akhmatskaya. Modified Hamiltonian Monte Carlo for Bayesian inference
405 -- 417Aurya Javeed, Giles Hooker. Timing observations of diffusions
419 -- 446Arno Solin, Simo Särkkä. Hilbert space methods for reduced-rank Gaussian process regression
447 -- 467Isadora Antoniano-Villalobos, Emanuele Borgonovo, Xuefei Lu. Nonparametric estimation of probabilistic sensitivity measures
469 -- 484Greg McSwiggan, Adrian J. Baddeley, Gopalan M. Nair. Estimation of relative risk for events on a linear network

Volume 30, Issue 1

1 -- 18Kei Kobayashi, Henry P. Wynn. Empirical geodesic graphs and CAT(k) metrics for data analysis
19 -- 25Zheyuan Li, Simon N. Wood. Faster model matrix crossproducts for large generalized linear models with discretized covariates
27 -- 41Nicholas G. Tawn, Gareth O. Roberts, Jeffrey S. Rosenthal. Weight-preserving simulated tempering
43 -- 59Ioannis Kosmidis, Euloge Clovis Kenne Pagui, Nicola Sartori. Mean and median bias reduction in generalized linear models
61 -- 75Pierre Barbillon, Loïc Schwaller, Stéphane Robin, Andrew Flachs, Glenn Stone. Epidemiologic network inference
77 -- 91Francesco Battaglia, Domenico Cucina, Manuel Rizzo. Parsimonious periodic autoregressive models for time series with evolving trend and seasonality
93 -- 112Belmiro P. M. Duarte, José F. O. Granjo, Weng Kee Wong. Optimal exact designs of experiments via Mixed Integer Nonlinear Programming
113 -- 128Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck. The minimum regularized covariance determinant estimator
129 -- 140Yafeng Cheng, Jian Qing Shi, Janet A. Eyre. Nonlinear mixed-effects scalar-on-function models and variable selection
141 -- 152Torsten Hothorn. Transformation boosting machines
153 -- 165P. J. Paine, S. P. Preston, Michail Tsagris, Andrew T. A. Wood. Spherical regression models with general covariates and anisotropic errors
167 -- 185Peter F. Craigmile, Debashis Mondal. Estimation of long-range dependence in gappy Gaussian time series
187 -- 194Francisco Cuevas, Denis Allard, Emilio Porcu. Fast and exact simulation of Gaussian random fields defined on the sphere cross time
195 -- 207Olivier Bock, Xavier Collilieux, François Guillamon, Emilie Lebarbier, Claire Pascal. A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals