Journal: Statistics and Computing

Volume 25, Issue 6

1057 -- 1070Ivan Vujacic, Itai Dattner, Javier González, Ernst Wit. Time-course window estimator for ordinary differential equations linear in the parameters
1071 -- 1092Eugen Pircalabelu, Gerda Claeskens, Lourens J. Waldorp. A focused information criterion for graphical models
1093 -- 1112Minh Khoa Nguyen, Steve Phelps, Wing Lon Ng. Simulation based calibration using extended balanced augmented empirical likelihood
1113 -- 1127Selin Damla Ahipasaoglu. A first-order algorithm for the A-optimal experimental design problem: a mathematical programming approach
1129 -- 1141Yi Yang, Hui Zou. A fast unified algorithm for solving group-lasso penalize learning problems
1143 -- 1162Charles Bouveyron, Mathieu Fauvel, Stéphane Girard. Kernel discriminant analysis and clustering with parsimonious Gaussian process models
1163 -- 1183Luis Mauricio Castro, Denise Reis Costa, Marcos Oliveira Prates, Victor Hugo Lachos. Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution
1185 -- 1200Hajo Holzmann, Florian Schwaiger. Hidden Markov models with state-dependent mixtures: minimal representation, model testing and applications to clustering
1201 -- 1216Christine Keribin, Vincent Brault, Gilles Celeux, Gérard Govaert. Estimation and selection for the latent block model on categorical data
1217 -- 1232Carlo Albert, Hans R. Künsch, Andreas Scheidegger. A simulated annealing approach to approximate Bayes computations
1233 -- 1246G. K. Robinson. Practical computing for finite moment log-stable distributions to model financial risk
1247 -- 1263Elisabeth Waldmann, Thomas Kneib. Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression
1265 -- 1280Victor Picheny. Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction
1281 -- 1287F. J. Rubio. Letter to the Editor: on the use of improper priors for the shape parameters of asymmetric exponential power models

Volume 25, Issue 5

863 -- 875Kei Hirose, Michio Yamamoto. Sparse estimation via nonconcave penalized likelihood in factor analysis model
877 -- 892Moreno Bevilacqua, Carlo Gaetan. Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
893 -- 911Antoine Deleforge, Florence Forbes, Radu Horaud. High-dimensional regression with gaussian mixtures and partially-latent response variables
913 -- 928Matthias Borowski, Dennis Busse, Roland Fried. Robust online-surveillance of trend-coherence in multivariate data streams: the similar trend monitoring (STM) procedure
929 -- 940Tommi Mononen. A case study of the widely applicable Bayesian information criterion and its optimality
941 -- 957María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Thomas Kneib, María Durbán, Paul H. C. Eilers. Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm
959 -- 974José E. Chacón, Tarn Duong. Efficient recursive algorithms for functionals based on higher order derivatives of the multivariate Gaussian density
975 -- 988Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung, Weng Kee Wong. Minimax optimal designs via particle swarm optimization methods
989 -- 996Giang Trinh, Alan Genz. Bivariate conditioning approximations for multivariate normal probabilities
997 -- 1008Mathew W. McLean, Giles Hooker, David Ruppert. Restricted likelihood ratio tests for linearity in scalar-on-function regression
1009 -- 1022Alfonso Iodice D'Enza, Angelos Markos. Low-dimensional tracking of association structures in categorical data
1023 -- 1037David I. Hastie, Silvia Liverani, Sylvia Richardson. Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations
1039 -- 1055Andrew Golightly, Daniel A. Henderson, Chris Sherlock. Delayed acceptance particle MCMC for exact inference in stochastic kinetic models

Volume 25, Issue 4

703 -- 0. Editor's note: 25th Anniversary Special Issue
705 -- 711David J. Hand. Statistics and computing: the genesis of data science
713 -- 726Jean-Patrick Baudry, Gilles Celeux. EM for mixtures - Initialization requires special care
727 -- 737Alexandros Beskos, Ajay Jasra, Ege A. Muzaffer, Andrew M. Stuart. Sequential Monte Carlo methods for Bayesian elliptic inverse problems
739 -- 753Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis. Bayesian inference via projections
755 -- 766Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters. Computing functions of random variables via reproducing kernel Hilbert space representations
767 -- 780Simon Barthelmé, Nicolas Chopin. The Poisson transform for unnormalised statistical models
781 -- 795Panos Toulis, Edoardo M. Airoldi. Scalable estimation strategies based on stochastic approximations: classical results and new insights
797 -- 808Sergio Bacallado, Persi Diaconis, Susan Holmes. de Finetti Priors using Markov chain Monte Carlo computations
809 -- 819Ying Liu, Andrew Gelman, Tian Zheng. Simulation-efficient shortest probability intervals
821 -- 833Christian Hennig, Chien-Ju Lin. Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters
835 -- 862Peter J. Green, Krzysztof Latuszynski, Marcelo Pereyra, Christian P. Robert. Bayesian computation: a summary of the current state, and samples backwards and forwards

Volume 25, Issue 3

497 -- 514Lizbeth Naranjo, Carlos J. Perez, Jacinto Martín. Bayesian analysis of some models that use the asymmetric exponential power distribution
515 -- 526Francesco Bartolucci, Alessio Farcomeni. Information matrix for hidden Markov models with covariates
527 -- 541Therese Graversen, Steffen L. Lauritzen. Computational aspects of DNA mixture analysis - Exact inference using auxiliary variables in a Bayesian network
543 -- 559Natalya Pya, Simon N. Wood. Shape constrained additive models
561 -- 577Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson. An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula
579 -- 593Gaorong Li, Peng Lai, Heng Lian. Variable selection and estimation for partially linear single-index models with longitudinal data
595 -- 608Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean. Calibrating the Gaussian multi-target tracking model
609 -- 618Niels Richard Hansen. Nonparametric likelihood based estimation of linear filters for point processes
619 -- 633Luis Angel García-Escudero, Alfonso Gordaliza, Carlos Matrán, Agustín Mayo-Iscar. Avoiding spurious local maximizers in mixture modeling
635 -- 650Steve Su. Flexible parametric quantile regression model
651 -- 668Yuao Hu, Kaifeng Zhao, Heng Lian. Bayesian quantile regression for partially linear additive models
669 -- 681Alexei Manso Corrêa Machado. Dependence aliasing and the control of family-wise error rate in multiple hypothesis testing
683 -- 701Filipe J. Marques, Carlos Agra Coelho, Miguel De Carvalho. On the distribution of linear combinations of independent Gumbel random variables

Volume 25, Issue 2

173 -- 187Patrick Breheny, Jian Huang. Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
189 -- 202Mengmeng Guo, Lan Zhou, Jianhua Z. Huang, Wolfgang Karl Härdle. Functional data analysis of generalized regression quantiles
203 -- 214Livio Corain, Luigi Salmaso. Improving power of multivariate combination-based permutation tests
215 -- 226Francesca Greselin, Salvatore Ingrassia. Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers
227 -- 242Jack Kuipers, Giusi Moffa. Uniform random generation of large acyclic digraphs
243 -- 260Christelle Vergé, Cyrille Dubarry, Pierre Del Moral, Eric Moulines. On parallel implementation of sequential Monte Carlo methods: the island particle model
261 -- 272Francesca Martella, Donatella Vicari, Maurizio Vichi. Partitioning predictors in multivariate regression models
273 -- 288Ray-Bing Chen, Meihui Guo, Wolfgang K. Härdle, Shih-Feng Huang. COPICA - independent component analysis via copula techniques
289 -- 301S. R. White, Theodore Kypraios, S. P. Preston. Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution
303 -- 320Yann Guédon. Segmentation uncertainty in multiple change-point models
321 -- 332Tomonari Sei, Alfred Kume. Calculating the normalising constant of the Bingham distribution on the sphere using the holonomic gradient method
333 -- 347Peter Neal, Theodore Kypraios. Exact Bayesian inference via data augmentation
349 -- 364Xuxu Wang, Yong Wang. Nonparametric multivariate density estimation using mixtures
365 -- 374Roland Fried, Inoncent Agueusop, Björn Bornkamp, Konstantinos Fokianos, Jana Fruth, Katja Ickstadt. Retrospective Bayesian outlier detection in INGARCH series
375 -- 387Helgi Tómasson. Some computational aspects of Gaussian CARMA modelling
389 -- 405Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick. An adaptive spatial model for precipitation data from multiple satellites over large regions
407 -- 425Eugenia Koblents, Joaquín Míguez. A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
427 -- 437Simo Särkkä, Jouni Hartikainen, Isambi Sailon Mbalawata, Heikki Haario. Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC
439 -- 448Ricardo A. Maronna, Fernanda Méndez, Victor J. Yohai. Robust nonlinear principal components
449 -- 470Laure Sansonnet, Christine Tuleau-Malot. A model of Poissonian interactions and detection of dependence
471 -- 486Marie Verbanck, Julie Josse, François Husson. Regularised PCA to denoise and visualise data
487 -- 496Pierre E. Jacob, Lawrence M. Murray, Sylvain Rubenthaler. Path storage in the particle filter

Volume 25, Issue 1

1 -- 0Antonietta Mira, Christian P. Robert. An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4"
3 -- 0Heikki Haario. Introduction to "Quantitative bounds of convergence for geometrically ergodic Markov Chain in the Wasserstein distance with application to the Metropolis adjusted Langevin algorithm" by A. Durmus, É. Moulines
5 -- 19Alain Durmus, Eric Moulines. Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm
21 -- 0Nial Friel. Introduction to "Pre-processing for approximate Bayesian computation in image analysis" by M. Moores, C. Drovandi, K. Mengersen, C. Robert
23 -- 33Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert. Pre-processing for approximate Bayesian computation in image analysis
35 -- 0Bradley P. Carlin. Introduction to "Cuts in Bayesian graphical models" by M. Plummer
37 -- 43Martyn Plummer. Cuts in Bayesian graphical models
45 -- 0Håvard Rue. Introduction to "Fast matrix computations for functional additive models" by S. Barthelmé
47 -- 63Simon Barthelmé. Fast matrix computations for functional additive models
65 -- 66Peter Mueller. Introduction to "On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler" by S. Favaro, M. Lomeli, Y. W. Teh
67 -- 78Stefano Favaro, M. Lomeli, Y. W. Teh. On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler
79 -- 0Christophe Andrieu. Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön
81 -- 92Johan Dahlin, Fredrik Lindsten, Thomas B. Schön. Particle Metropolis-Hastings using gradient and Hessian information
93 -- 94Stefano Peluso. Introduction to "On the use of Markov chain Monte Carlo methods for the sampling of mixture models" by R. Douc, F. Maire, J. Olsson
95 -- 110Randal Douc, Florian Maire, Jimmy Olsson. On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective
111 -- 0Nial Friel. Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. Mira
113 -- 125Alberto Caimo, Antonietta Mira. Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks
127 -- 0Christian P. Robert. Introduction to "Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields" by J. Stoehr, P. Pudlo, L. Cucala
129 -- 141Julien Stoehr, Pierre Pudlo, Lionel Cucala. Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields
143 -- 0Robin J. Ryder. Introduction to "Scalable inference for Markov processes with intractable likelihoods" by J. Owen, D. Wilkinson, C. Gillespie
145 -- 156Jamie Owen, Darren J. Wilkinson, Colin S. Gillespie. Scalable inference for Markov processes with intractable likelihoods
157 -- 0Colin Fox. Introduction to "Efficient local updates for undirected graphical models" by F. Stingo, G. Marchetti
159 -- 171Francesco Stingo, Giovanni M. Marchetti. Efficient local updates for undirected graphical models