Journal: Statistics and Computing

Volume 29, Issue 6

1181 -- 1183Mark A. Girolami, Ilse C. F. Ipsen, Chris J. Oates, Art B. Owen, Timothy John Sullivan. Editorial: special edition on probabilistic numerics
1185 -- 1201Gene Ryan Yoo, Houman Owhadi. De-noising by thresholding operator adapted wavelets
1203 -- 1214Martin Ehler, Manuel Gräf, Chris J. Oates. Optimal Monte Carlo integration on closed manifolds
1215 -- 1229R. Jagadeeswaran, Fred J. Hickernell. Fast automatic Bayesian cubature using lattice sampling
1231 -- 1248Toni Karvonen, Simo Särkkä, Chris J. Oates. Symmetry exploits for Bayesian cubature methods
1249 -- 1263Simon Bartels, Jon Cockayne, Ilse C. F. Ipsen, Philipp Hennig. Probabilistic linear solvers: a unifying view
1265 -- 1283Han Cheng Lie, Andrew M. Stuart, Timothy John Sullivan. Strong convergence rates of probabilistic integrators for ordinary differential equations
1285 -- 1295Oksana A. Chkrebtii, David A. Campbell. Adaptive step-size selection for state-space probabilistic differential equation solvers
1297 -- 1315Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig. Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
1317 -- 1333Toni Karvonen, Motonobu Kanagawa, Simo Särkkä. On the positivity and magnitudes of Bayesian quadrature weights
1335 -- 1351Chris J. Oates, Timothy John Sullivan. A modern retrospective on probabilistic numerics

Volume 29, Issue 5

853 -- 867Benn Macdonald, Dirk Husmeier. Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching
869 -- 890Javier Espinosa, Christian Hennig. A constrained regression model for an ordinal response with ordinal predictors
891 -- 913Edward Higson, Will Handley, Michael P. Hobson, Anthony N. Lasenby. Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation
915 -- 931Aleksandar A. Kolev, Gordon J. Ross. Inference for ETAS models with non-Poissonian mainshock arrival times
933 -- 946D. Gunawan, Minh-Ngoc Tran, Kosuke Suzuki, Josef Dick, Robert Kohn. Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins
947 -- 963Sinan Yildirim, Beyza Ermis. Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework
965 -- 976Øyvind Langsrud. Information preserving regression-based tools for statistical disclosure control
977 -- 993Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes. A novel Bayesian approach for latent variable modeling from mixed data with missing values
995 -- 1010M. Mehdi Moradi, Ottmar Cronie, Ege Rubak, Raphaël Lachièze-Rey, Jorge Mateu, Adrian J. Baddeley. Resample-smoothing of Voronoi intensity estimators
1011 -- 1034Elizabeth Ann Maharaj, Paulo Teles, Paula Brito. Clustering of interval time series
1035 -- 1053Hiroshi Yamashita, Hideyuki Suzuki. Convergence analysis of herded-Gibbs-type sampling algorithms: effects of weight sharing
1055 -- 1075Augustin Touron. Consistency of the maximum likelihood estimator in seasonal hidden Markov models
1077 -- 1093Matthew Heiner, Athanasios Kottas, Stephan Munch. Structured priors for sparse probability vectors with application to model selection in Markov chains
1095 -- 1108Marco Scutari, Claudia Vitolo, Allan Tucker. Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
1109 -- 1125Joshua Plasse, Niall M. Adams. Multiple changepoint detection in categorical data streams
1127 -- 1147Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani. Antithetic and Monte Carlo kernel estimators for partial rankings
1149 -- 1163Andrew Golightly, Chris Sherlock. Efficient sampling of conditioned Markov jump processes
1165 -- 1179Miaoqi Li, Emily L. Kang. Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks

Volume 29, Issue 4

617 -- 630Andrew J. Black. Importance sampling for partially observed temporal epidemic models
631 -- 643Daniel W. Heck, Antony M. Overstall, Quentin F. Gronau, Eric-Jan Wagenmakers. Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models
645 -- 654Minwoo Chae, Ryan Martin, Stephen G. Walker. On an algorithm for solving Fredholm integrals of the first kind
655 -- 676Andrés M. Alonso, Daniel Peña. Clustering time series by linear dependency
677 -- 695Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi. The dynamic stochastic topic block model for dynamic networks with textual edges
697 -- 706Colin S. Gillespie, Richard J. Boys. Efficient construction of Bayes optimal designs for stochastic process models
707 -- 723Michiel Debruyne, Sebastiaan Höppner, Sven Serneels, Tim Verdonck. Outlyingness: Which variables contribute most?
725 -- 738Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong. T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method
739 -- 751Michael B. Giles, Takashi Goda. Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI
753 -- 773Marcelo Hartmann, Jarno Vanhatalo. Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model
775 -- 789Ajay Jasra, Kody J. H. Law, Prince Peprah Osei. Multilevel particle filters for Lévy-driven stochastic differential equations
791 -- 819Michael Fop, Thomas Brendan Murphy, Luca Scrucca. Model-based clustering with sparse covariance matrices
821 -- 833Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue. An approximate fractional Gaussian noise model with $$\mathcal {O}(n)$$ O ( n ) computational cost
835 -- 850Xi Chen, Michael P. Hobson, Saptarshi Das, Paul Gelderblom. Improving the efficiency and robustness of nested sampling using posterior repartitioning
851 -- 0Ajay Jasra, Kody J. H. Law, Prince Peprah Osei. Correction to: Multilevel particle filters for Lévy-driven stochastic differential equations

Volume 29, Issue 3

415 -- 428Mohsen Maleki, Darren Wraith, Reinaldo Boris Arellano-Valle. Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions
429 -- 447Andrew G. Salinger, Paul G. Constantine. Gauss-Christoffel quadrature for inverse regression: applications to computer experiments
449 -- 482Florian Maire, Nial Friel, Pierre Alquier. Informed sub-sampling MCMC: approximate Bayesian inference for large datasets
483 -- 500María Xosé Rodríguez-Álvarez, María Durbán, Dae-Jin Lee, Paul H. C. Eilers. On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing
501 -- 516Sabrina Guastavino, Federico Benvenuto. A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery
517 -- 536Marina I. Knight, Matthew A. Nunes. Long memory estimation for complex-valued time series
537 -- 548Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo. Latent mixture modeling for clustered data
549 -- 558Michael Grabchak. Rejection sampling for tempered Lévy processes
559 -- 569Antonino Abbruzzo, Ivan Vujacic, Angelo M. Mineo, Ernst C. Wit. Selecting the tuning parameter in penalized Gaussian graphical models
571 -- 583Junshan Shen, Hanjun Yu, Jin Yang, Chunling Liu. Semiparametric Bayesian analysis for longitudinal mixed effects models with non-normal AR(1) errors
585 -- 598Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah. Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities
599 -- 615Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth. Control variates for stochastic gradient MCMC

Volume 29, Issue 2

203 -- 215Daiane Aparecida Zuanetti, Peter Müller 0003, Yitan Zhu, Shengjie Yang, Yuan Ji. Bayesian nonparametric clustering for large data sets
217 -- 229Moritz Berger, Gerhard Tutz, Matthias Schmid. Tree-structured modelling of varying coefficients
231 -- 253Gersende Fort, Edouard Ollier, Adeline Samson. Stochastic proximal-gradient algorithms for penalized mixed models
255 -- 267Victor Picheny, Rémi Servien, Nathalie Villa-Vialaneix. Interpretable sparse SIR for functional data
269 -- 287Dominik Müller, Claudia Czado. Selection of sparse vine copulas in high dimensions with the Lasso
289 -- 300Noboru Nomura. Orthant probabilities of elliptical distributions from orthogonal projections to subspaces
301 -- 310Alexander Terenin, Shawfeng Dong, David Draper. GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model
311 -- 333Ruifei Cui, Perry Groot, Tom Heskes. Learning causal structure from mixed data with missing values using Gaussian copula models
335 -- 349Philip L. H. Yu, Hang Xu. Rank aggregation using latent-scale distance-based models
351 -- 365Ioulia Papageorgiou, Irini Moustaki. Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables
367 -- 389Xin Luo, Håkon Tjelmeland. Prior specification for binary Markov mesh models
391 -- 414David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley. Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering

Volume 29, Issue 1

1 -- 22Eduardo García-Portugués, Michael Sørensen, Kanti V. Mardia, Thomas Hamelryck. Langevin diffusions on the torus: estimation and applications
23 -- 32Jingnan Xue, Faming Liang. Double-Parallel Monte Carlo for Bayesian analysis of big data
33 -- 42Lin Su, Howard D. Bondell. Best linear estimation via minimization of relative mean squared error
43 -- 51Cinzia Viroli, Geoffrey J. McLachlan. Deep Gaussian mixture models
53 -- 65Zhijian He, Lingjiong Zhu. Asymptotic normality of extensible grid sampling
67 -- 78Matthew C. Edwards, Renate Meyer, Nelson Christensen. Bayesian nonparametric spectral density estimation using B-spline priors
79 -- 98Joshua J. Bon, Kevin Murray, Berwin A. Turlach. Fitting monotone polynomials in mixed effects models
99 -- 122Michael Schober, Simo Särkkä, Philipp Hennig. A probabilistic model for the numerical solution of initial value problems
123 -- 138Elmar Spiegel, Thomas Kneib, Fabian Otto-Sobotka. Generalized additive models with flexible response functions
139 -- 160Eustasio del Barrio, Juan Antonio Cuesta-Albertos, Carlos Matrán, Agustín Mayo-Íscar. Robust clustering tools based on optimal transportation
161 -- 176Jiaying Gu, Fei Fu, Qing Zhou. Penalized estimation of directed acyclic graphs from discrete data
177 -- 202Yi-An Ma, Emily B. Fox, TianQi Chen, Lei Wu. Irreversible samplers from jump and continuous Markov processes