Journal: Statistics and Computing

Volume 24, Issue 6

907 -- 919Alessio Farcomeni. Snipping for robust k-means clustering under component-wise contamination
921 -- 940Ian C. Marschner. Combinatorial EM algorithms
941 -- 952Livio Finos, Dario Basso. Permutation tests for between-unit fixed effects in multivariate generalized linear mixed models
953 -- 969Christophe Biernacki, Alexandre Lourme. Stable and visualizable Gaussian parsimonious clustering models
971 -- 984Florence Forbes, Darren Wraith. A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
985 -- 995Jianbo Li, Zhensheng Huang, Heng Lian. Empirical likelihood inference for general transformation models with right censored data
997 -- 1016Andrew Gelman, Jessica Hwang, Aki Vehtari. Understanding predictive information criteria for Bayesian models
1017 -- 1030Gordon J. Ross. Sequential change detection in the presence of unknown parameters
1031 -- 1046Elizabeth Ann Maharaj. Classification of cyclical time series using complex demodulation
1047 -- 1062Junjing Lin, Michael Ludkovski. Sequential Bayesian inference in hidden Markov stochastic kinetic models with application to detection and response to seasonal epidemics
1063 -- 1080Belmiro P. M. Duarte, Weng Kee Wong. A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models
1081 -- 1100Göran Kauermann, Christian Schellhase. Flexible pair-copula estimation in D-vines using bivariate penalized splines
1101 -- 1110Hongxia Yang, Fei Liu, Chunlin Ji, David B. Dunson. Adaptive sampling for Bayesian geospatial models
1111 -- 1123Marcos O. Prates, Denise R. Costa, Victor H. Lachos. Generalized linear mixed models for correlated binary data with t-link

Volume 24, Issue 5

675 -- 692Jean-Benoist Leger, Corinne Vacher, Jean-Jacques Daudin. Detection of structurally homogeneous subsets in graphs
693 -- 707Marc Lavielle, Cyprien Mbogning. An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models
709 -- 723Nial Friel, Merrilee Hurn, Jason Wyse. Improving power posterior estimation of statistical evidence
725 -- 738Jianxin Pan, Chao Huang. Random effects selection in generalized linear mixed models via shrinkage penalty function
739 -- 752Theodoros Economou, Trevor C. Bailey, Zoran Kapelan. MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications
753 -- 767Giovanna Menardi, Adelchi Azzalini. An advancement in clustering via nonparametric density estimation
769 -- 783Alan Ricardo da Silva, Thais Carvalho Valadares Rodrigues. Geographically Weighted Negative Binomial Regression - incorporating overdispersion
785 -- 801Geir Drage Berentsen, Dag Tjøstheim. Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation
803 -- 819Yi Yu, Yang Feng. APPLE: approximate path for penalized likelihood estimators
821 -- 843Izwan Nizal Mohd Shaharanee, Fedja Hadzic. Evaluation and optimization of frequent, closed and maximal association rule based classification
845 -- 852Shih-Chang Lee, Ning-Ning Pang, Wen-Jer Tzeng. Resolution dependence of the maximal information coefficient for noiseless relationship
853 -- 869Limin Peng, Jinfeng Xu, Nancy Kutner. Shrinkage estimation of varying covariate effects based on quantile regression
871 -- 883Dingfeng Jiang, Jian Huang. Majorization minimization by coordinate descent for concave penalized generalized linear models
885 -- 905Yonggang Yao, Yoonkyung Lee. Another look at linear programming for feature selection via methods of regularization

Volume 24, Issue 4

493 -- 504Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette, Stéphane Robin. Hidden Markov Models with mixtures as emission distributions
505 -- 520Sooyoung Cheon, Faming Liang, Yuguo Chen, Kai Yu. Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities
521 -- 529Hao Wang. Coordinate descent algorithm for covariance graphical lasso
531 -- 546Tsung-I Lin, Hsiu J. Ho, Chia-Rong Lee. Flexible mixture modelling using the multivariate skew-t-normal distribution
547 -- 557Wolfgang Hörmann, Josef Leydold. Generating generalized inverse Gaussian random variates
559 -- 568Sy Han Chiou, Sangwook Kang, Jun Yan. Fast accelerated failure time modeling for case-cohort data
569 -- 588Isabella Gollini, Thomas Brendan Murphy. Mixture of latent trait analyzers for model-based clustering of categorical data
589 -- 596Lucio Barabesi, Luca Pratelli. A note on a universal random variate generator for integer-valued random variables
597 -- 613Matthias Borowski, Roland Fried. Online signal extraction by robust regression in moving windows with data-adaptive width selection - SCARM - Slope Comparing Adaptive Repeated Median
615 -- 632Claudia Fassino, Giovanni Pistone, Eva Riccomagno. The algebra of interpolatory cubature formulæ for generic nodes
633 -- 649Jürgen Franz, Alicja Jokiel-Rokita, Ryszard Magiera. Prediction in trend-renewal processes for repairable systems
651 -- 662Jean-Noël Bacro, Carlo Gaetan. Estimation of spatial max-stable models using threshold exceedances
663 -- 673Chris J. Lloyd, Degui Li. Computing highly accurate confidence limits from discrete data using importance sampling

Volume 24, Issue 3

283 -- 296Frank Konietschke, Markus Pauly. Bootstrapping and permuting paired t-test type statistics
297 -- 315Loukia Meligkotsidou, Elias Tzavalis, Ioannis D. Vrontos. A Bayesian method of distinguishing unit root from stationary processes based on panel data models with cross-sectional dependence
317 -- 337Julien Cornebise, Eric Moulines, Jimmy Olsson. Adaptive sequential Monte Carlo by means of mixture of experts
339 -- 349Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal. Split Hamiltonian Monte Carlo
351 -- 363Davide Ferrari, Matteo Borrotti, Davide De March. Response improvement in complex experiments by co-information composite likelihood optimization
365 -- 375Oguz Akbilgic, Hamparsum Bozdogan, M. Erdal Balaban. A novel Hybrid RBF Neural Networks model as a forecaster
377 -- 397Lorenzo Hernández, Jorge Tejero, Alberto Suárez, Santiago Carrillo-Menéndez. Percentiles of sums of heavy-tailed random variables: beyond the single-loss approximation
399 -- 416Yi-Ting Hwang, Hsun-Chih Kuo, Chun-Chao Wang, Meng Feng Lee. Estimating the number of true null hypotheses in multiple hypothesis testing
417 -- 427Sara Viviani, Marco Alfò, Dimitris Rizopoulos. Generalized linear mixed joint model for longitudinal and survival outcomes
429 -- 441Seokho Lee, Jianhua Z. Huang. A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood
443 -- 460Ana Arribas-Gil, Karine Bertin, Cristian Meza, Vincent Rivoirard. LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation
461 -- 479Marco Geraci, Matteo Bottai. Linear quantile mixed models
481 -- 491Sonja Kuhnt, Fabio Rapallo, André Rehage. Outlier detection in contingency tables based on minimal patterns

Volume 24, Issue 2

137 -- 154Andreas Groll, Gerhard Tutz. Variable selection for generalized linear mixed models by L 1-penalized estimation
155 -- 164Andrew C. Titman. Estimating parametric semi-Markov models from panel data using phase-type approximations
165 -- 179J. L. Scealy, A. H. Welsh. Fitting Kent models to compositional data with small concentration
181 -- 202Sharon X. Lee, Geoffrey J. McLachlan. Finite mixtures of multivariate skew t-distributions: some recent and new results
203 -- 210Ryan P. Browne, Paul D. McNicholas. Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models
211 -- 222Dexter O. Cahoy, Federico Polito. Parameter estimation for fractional birth and fractional death processes
223 -- 238Stefan Lang, Nikolaus Umlauf, Peter Wechselberger, Kenneth Harttgen, Thomas Kneib. Multilevel structured additive regression
239 -- 246Luc Devroye. Random variate generation for the generalized inverse Gaussian distribution
247 -- 263Erlend Aune, Daniel P. Simpson, Jo Eidsvik. Parameter estimation in high dimensional Gaussian distributions
265 -- 281Derek S. Young. Mixtures of regressions with changepoints

Volume 24, Issue 1

1 -- 20Ajay Jasra, Nikolas Kantas, Adam Persing. Bayesian parameter inference for partially observed stopped processes
21 -- 34Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl. A new variable importance measure for random forests with missing data
35 -- 49Carlos E. Rodríguez, Stephen G. Walker. Univariate Bayesian nonparametric mixture modeling with unimodal kernels
51 -- 63Xiaohui Liu, Yijun Zuo. Computing projection depth and its associated estimators
65 -- 75A. Martín Andrés, M. Álvarez Hernández. Two-tailed approximate confidence intervals for the ratio of proportions
77 -- 89Gabriele Fiorentini, Christophe Planas, Alessandro Rossi. Efficient MCMC sampling in dynamic mixture models
91 -- 100Tomás Mrkvicka, M. Muska, J. Kubecka. Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers
101 -- 109Linda M. Haines, Allan E. Clark. The construction of optimal designs for dose-escalation studies
111 -- 121L. Wang, J. Cao, J. O. Ramsay, D. M. Burger, C. J. L. Laporte, J. K. Rockstroh. Estimating mixed-effects differential equation models
123 -- 136Chenlei Leng, Weiping Zhang. Smoothing combined estimating equations in quantile regression for longitudinal data