Computational Statistics & Data Analysis
1983 - 2025
Current editor(s): S.P. Azen From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 54, issue 12, 2010
- Special issue on variable selection and robust procedures pp. 2879-2882

- Stefan Van Aelst, Roy Welsch and Ruben H. Zamar
- Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions pp. 2883-2898

- C.A. Abanto-Valle, D. Bandyopadhyay, V.H. Lachos and I. Enriquez
- Globally robust confidence intervals for simple linear regression pp. 2899-2913

- Jorge Adrover and Matias Salibian-Barrera
- Assessing when a sample is mostly normal pp. 2914-2925

- Pedro C. Alvarez-Esteban, Eustasio del Barrio, Juan A. Cuesta-Albertos and Carlos Matrán
- Robust mixture modeling based on scale mixtures of skew-normal distributions pp. 2926-2941

- Rodrigo M. Basso, Víctor H. Lachos, Celso Rômulo Barbosa Cabral and Pulak Ghosh
- Robust inference in generalized partially linear models pp. 2942-2966

- Graciela Boente and Daniela Rodriguez
- Detecting influential observations in principal components and common principal components pp. 2967-2975

- Graciela Boente, Ana M. Pires and Isabel M. Rodrigues
- Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods pp. 2976-2989

- Simone Borra and Agostino Di Ciaccio
- A new approach for selecting the number of factors pp. 2990-2998

- Yin-Ping Chen, Hsin-Cheng Huang and I-Ping Tu
- Robust exponential smoothing of multivariate time series pp. 2999-3006

- Christophe Croux, Sarah Gelper and Koen Mahieu
- Detecting influential observations in Kernel PCA pp. 3007-3019

- Michiel Debruyne, Mia Hubert and Johan Van Horebeek
- Robust estimation of constrained covariance matrices for confirmatory factor analysis pp. 3020-3032

- E. Dupuis Lozeron and Maria-Pia Victoria-Feser
- A goodness-of-fit test for Archimedean copula models in the presence of right censoring pp. 3033-3043

- Takeshi Emura, Chien-Wei Lin and Weijing Wang
- On the efficient computation of robust regression estimators pp. 3044-3056

- Salvador Flores
- Robust clusterwise linear regression through trimming pp. 3057-3069

- L.A. García-Escudero, A. Gordaliza, A. Mayo-Iscar and R. San Martín
- Robust concentration graph model selection pp. 3070-3079

- Anna Gottard and Simona Pacillo
- A cross-validation deletion-substitution-addition model selection algorithm: Application to marginal structural models pp. 3080-3094

- Thaddeus J. Haight, Yue Wang, Mark J. van der Laan and Ira B. Tager
- Imputation of missing values for compositional data using classical and robust methods pp. 3095-3107

- K. Hron, M. Templ and Peter Filzmoser
- Rank tests and regression rank score tests in measurement error models pp. 3108-3120

- Jana Jurecková, Jan Picek and A.K.Md. Ehsanes Saleh
- Fast robust estimation of prediction error based on resampling pp. 3121-3130

- Jafar A. Khan, Stefan Van Aelst and Ruben H. Zamar
- Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy pp. 3131-3143

- Jong Soo Lee and Dennis D. Cox
- Sparse CCA using a Lasso with positivity constraints pp. 3144-3157

- Anastasia Lykou and Joe Whittaker
- A comparison of design and model selection methods for supersaturated experiments pp. 3158-3167

- Christopher J. Marley and David C. Woods
- Correcting MM estimates for "fat" data sets pp. 3168-3173

- Ricardo A. Maronna and Victor J. Yohai
- Testing for the generalized normal-Laplace distribution with applications pp. 3174-3180

- Simos G. Meintanis and Mike Tsionas
- A diagnostic method for simultaneous feature selection and outlier identification in linear regression pp. 3181-3193

- Rajiv S. Menjoge and Roy E. Welsch
- Model selection strategies for identifying most relevant covariates in homoscedastic linear models pp. 3194-3211

- Aleksey Min, Hajo Holzmann and Claudia Czado
- Outlier detection and least trimmed squares approximation using semi-definite programming pp. 3212-3226

- T.D. Nguyen and R. Welsch
- Bayesian projection approaches to variable selection in generalized linear models pp. 3227-3241

- David J. Nott and Chenlei Leng
- An evolutionary algorithm for robust regression pp. 3242-3248

- Robin Nunkesser and Oliver Morell
- Bayesian variable selection and model averaging in the arbitrage pricing theory model pp. 3249-3268

- Rachida Ouysse and Robert Kohn
- Default Bayesian model determination methods for generalised linear mixed models pp. 3269-3288

- Antony M. Overstall and Jonathan J. Forster
- Bayesian variable selection for Poisson regression with underreported responses pp. 3289-3299

- Stephanie Powers, Richard Gerlach and James Stamey
- Robust model selection with flexible trimming pp. 3300-3312

- Marco Riani and Anthony C. Atkinson
- Combining regular and irregular histograms by penalized likelihood pp. 3313-3323

- Yves Rozenholc, Thoralf Mildenberger and Ursula Gather
- New approaches to compute Bayes factor in finite mixture models pp. 3324-3335

- M.J. Rufo, J. Martín and C.J. Pérez
- Frequentist Model Averaging with missing observations pp. 3336-3347

- Michael Schomaker, Alan Wan and Christian Heumann
- A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis pp. 3348-3358

- S. Unkel and N.T. Trendafilov
- Modeling strategies in longitudinal data analysis: Covariate, variance function and correlation structure selection pp. 3359-3370

- You-Gan Wang and Lin-Yee Hin
- Robustness of design for the testing of lack of fit and for estimation in binary response models pp. 3371-3378

- Douglas P. Wiens
- 3rd Special issue on matrix computations and statistics pp. 3379-3380

- Jesse Barlow, Lars Eldén and Paolo Foschi
- Update formulas for split-plot and block designs pp. 3381-3391

- Heidi Arnouts and Peter Goos
- Matrix strategies for computing the least trimmed squares estimation of the general linear and SUR models pp. 3392-3403

- Marc Hofmann and Erricos Kontoghiorghes
- A fast algorithm for computing least-squares cross-validations for nonparametric conditional kernel density functions pp. 3404-3410

- Tsuyoshi Ichimura and Daisuke Fukuda
- Approximate low-rank factorization with structured factors pp. 3411-3420

- Ivan Markovsky and Mahesan Niranjan
- Local-moment nonparametric density estimation of pre-binned data pp. 3421-3429

- Galen I. Papkov and David W. Scott
- Regularization parameter estimation for large-scale Tikhonov regularization using a priori information pp. 3430-3445

- Rosemary A. Renaut, Iveta Hnetynková and Jodi Mead
- Stepwise estimation of common principal components pp. 3446-3457

- Nickolay T. Trendafilov
- -optimal designs for a hierarchically ordered system of regression models pp. 3458-3465

- Rong-Xian Yue and Xin Liu
Volume 54, issue 11, 2010
- The Fifth Special Issue on Computational Econometrics pp. 2359-2359

- David Belsley, Pierre Duchesne, George Kapetanios, Erricos Kontoghiorghes, Marc Paolella and Herman van Dijk
- Joint forecasts of Dow Jones stocks under general multivariate loss function pp. 2360-2371

- Tansel Alp and Matei Demetrescu
- Modeling tick-by-tick realized correlations pp. 2372-2382

- Francesco Audrino and Fulvio Corsi
- Time-varying joint distribution through copulas pp. 2383-2399

- M. Concepcion Ausin and Hedibert F. Lopes
- Intradaily dynamic portfolio selection pp. 2400-2418

- Luc Bauwens, Walid Ben Omrane and Erick Rengifo
- Public news announcements and quoting activity in the Euro/Dollar foreign exchange market pp. 2419-2431

- Walid Ben Omrane and Andréas Heinen
- From short to long memory: Aggregation and estimation pp. 2432-2442

- Jan Beran, Martin Schützner and Sucharita Ghosh
- Market linkages, variance spillovers, and correlation stability: Empirical evidence of financial contagion pp. 2443-2458

- Monica Billio and Massimiliano Caporin
- Robust M-estimation of multivariate GARCH models pp. 2459-2469

- Kris Boudt and Christophe Croux
- Automated variable selection in vector multiplicative error models pp. 2470-2486

- Fabrizio Cipollini and Giampiero Gallo
- Simple and effective boundary correction for kernel densities and regression with an application to the world income and Engel curve estimation pp. 2487-2497

- J. Dai and Stefan Sperlich
- Tests for cointegration with structural breaks based on subsamples pp. 2498-2511

- James Davidson and Andrea Monticini
- On testing for serial correlation of unknown form using wavelet thresholding pp. 2512-2531

- Pierre Duchesne, Linyuan Li and Jill Vandermeerschen
- Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form pp. 2532-2553

- Jean-Marie Dufour and Abderrahim Taamouti
- Estimation uncertainty in structural inflation models with real wage rigidities pp. 2554-2561

- Jean-Marie Dufour, Lynda Khalaf and Maral Kichian
- Three-stage semi-parametric estimation of T-copulas: Asymptotics, finite-sample properties and computational aspects pp. 2562-2579

- Dean Fantazzini
- Wavelet-based detection of outliers in financial time series pp. 2580-2593

- Aurea Grané and Helena Veiga
- Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes pp. 2594-2608

- Jim Griffin and Mark Steel
- Efficient estimation of a semiparametric dynamic copula model pp. 2609-2627

- Christian Hafner and Olga Reznikova
- Real time detection of structural breaks in GARCH models pp. 2628-2640

- Zhongfang He and John Maheu
- Exact maximum likelihood estimation for non-stationary periodic time series models pp. 2641-2654

- Irma Hindrayanto, Siem Jan Koopman and Marius Ooms
- Factor-GMM estimation with large sets of possibly weak instruments pp. 2655-2675

- George Kapetanios and Massimiliano Marcellino
- Forecasting volatility under fractality, regime-switching, long memory and student-t innovations pp. 2676-2692

- Thomas Lux and Leonardo Morales-Arias
- Optimization heuristics for determining internal rating grading scales pp. 2693-2706

- Marianna Lyra, Johannes Paha, Sandra Paterlini and Peter Winker
- Exploratory data analysis and model criticism with posterior plots pp. 2707-2720

- J.C. Naylor, Andrew Tremayne and J.M. Marriott
- Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach pp. 2721-2735

- Yoshihiro Ohtsuka, Takashi Oga and Kazuhiko Kakamu
- Tobit model with covariate dependent thresholds pp. 2736-2752

- Yasuhiro Omori and Koji Miyawaki
- Efficient importance sampling maximum likelihood estimation of stochastic differential equations pp. 2753-2762

- S. Pastorello and Eduardo Rossi
- Semiparametric indirect utility and consumer demand pp. 2763-2775

- Krishna Pendakur, Michael Scholz and Stefan Sperlich
- A regression tree algorithm for the identification of convergence clubs pp. 2776-2785

- Paolo Postiglione, Roberto Benedetti and Giovanni Lafratta
- Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis pp. 2786-2800

- Eduardo Rossi and Filippo Spazzini
- Robust panel unit root tests for cross-sectionally dependent multiple time series pp. 2801-2813

- Dong Wan Shin and Sangun Park
- Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach pp. 2814-2835

- Ingvar Strid
- A linearly distributed lag estimator with r-convex coefficients pp. 2836-2849

- E.E. Vassiliou and Ioannis Demetriou
- Non-linear time series clustering based on non-parametric forecast densities pp. 2850-2865

- J.A. Vilar, A.M. Alonso and J.M. Vilar
- Sparse seemingly unrelated regression modelling: Applications in finance and econometrics pp. 2866-2877

- Hao Wang
Volume 54, issue 10, 2010
- Early stopping in L2Boosting pp. 2203-2213

- Yuan-Chin Ivan Chang, Yufen Huang and Yu-Pai Huang
- Design-based estimation for geometric quantiles with application to outlier detection pp. 2214-2229

- Mohamed Chaouch and Camelia Goga
- Variable selection via combined penalization for high-dimensional data analysis pp. 2230-2243

- Xiaoming Wang, Taesung Park and K.C. Carriere
- A multivariate control chart for simultaneously monitoring process mean and variability pp. 2244-2252

- Jiujun Zhang, Zhonghua Li and Zhaojun Wang
- Mixtures of regressions with predictor-dependent mixing proportions pp. 2253-2266

- D.S. Young and D.R. Hunter
- Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables pp. 2267-2275

- Ian White, Rhian Daniel and Patrick Royston
- Estimating the mixing proportion in a semiparametric mixture model pp. 2276-2283

- Seongjoo Song, Dan L. Nicolae and Jongwoo Song
- Order selection tests with multiply imputed data pp. 2284-2295

- Fabrizio Consentino and Gerda Claeskens
- Confidence intervals for dependent data: Equating non-overlap with statistical significance pp. 2296-2305

- David Afshartous and Richard A. Preston
- A bootstrap test for equality of variances pp. 2306-2316

- Dexter O. Cahoy
- Statistical simulation and the distribution of distances between identical elements in a random sequence pp. 2317-2327

- Peter Zörnig
- New EWMA control charts for monitoring process dispersion pp. 2328-2342

- Longcheen Huwang, Chun-Jung Huang and Yi-Hua Tina Wang
- Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition pp. 2343-2357

- Hans-Friedrich Köhn
- Retracted: The functional singular value decomposition for bivariate stochastic processes pp. 2358-2358

- Daniel Gervini
Volume 54, issue 9, 2010
- Max-type rank tests, U-tests, and adaptive tests for the two-sample location problem -- An asymptotic power study pp. 2053-2065

- Wolfgang Kössler
- Inference for a simple step-stress model with competing risks for failure from the exponential distribution under time constraint pp. 2066-2081

- Donghoon Han and N. Balakrishnan
- A new image segmentation algorithm with applications to image inpainting pp. 2082-2093

- Silvia Ojeda, Ronny Vallejos and Oscar Bustos
- An encompassing prior generalization of the Savage-Dickey density ratio pp. 2094-2102

- Ruud Wetzels, Raoul Grasman and Eric-Jan Wagenmakers
- Extending the long-term survivor mixture model with random effects for clustered survival data pp. 2103-2112

- Xin Lai and Kelvin K.W. Yau
- James-Stein shrinkage to improve k-means cluster analysis pp. 2113-2127

- Jinxin Gao and David B. Hitchcock
- A variance shift model for detection of outliers in the linear mixed model pp. 2128-2144

- Freedom N. Gumedze, Sue J. Welham, Beverley J. Gogel and Robin Thompson
- Bayesian analysis of semiparametric reproductive dispersion mixed-effects models pp. 2145-2158

- Xue-Dong Chen and Nian-Sheng Tang
- Small area estimation using a nonparametric model-based direct estimator pp. 2159-2171

- Nicola Salvati, Hukum Chandra, M. Giovanna Ranalli and Ray Chambers
- Semiparametric Bayes hierarchical models with mean and variance constraints pp. 2172-2186

- Mingan Yang, David B. Dunson and Donna Baird
- On the measure and the estimation of evenness and diversity pp. 2187-2201

- Josep Ginebra and Xavier Puig
Volume 54, issue 8, 2010
- Testing and estimation of purely nonparametric effects in repeated measures designs pp. 1895-1905

- F. Konietschke, A.C. Bathke, L.A. Hothorn and E. Brunner
- D-optimality of unequal versus equal cluster sizes for mixed effects linear regression analysis of randomized trials with clusters in one treatment arm pp. 1906-1920

- Math J.J.M. Candel and Gerard J.P. Van Breukelen
- A Bayesian MCMC approach to survival analysis with doubly-censored data pp. 1921-1929

- Binbing Yu
- A computational strategy for doubly smoothed MLE exemplified in the normal mixture model pp. 1930-1941

- Byungtae Seo and Bruce G. Lindsay
- Goodness-of-fit tests for the error distribution in nonparametric regression pp. 1942-1951

- Cédric Heuchenne and Ingrid Van Keilegom
- An analysis of three-level orthogonal saturated designs pp. 1952-1961

- Ying Chen, Chi Kin Chan and Bartholomew P.K. Leung
- Bayesian analysis for outliers in survey sampling pp. 1962-1974

- N.K. Unnikrishnan
- On sufficient dimension reduction for proportional censorship model with covariates pp. 1975-1982

- Xuerong Meggie Wen
- Data-driven smooth tests for the martingale difference hypothesis pp. 1983-1998

- Juan Carlos Escanciano and Silvia Mayoral
- A clipped latent variable model for spatially correlated ordered categorical data pp. 1999-2011

- Megan Dailey Higgs and Jennifer A. Hoeting
- Bayesian classification for bivariate normal gene expression pp. 2012-2020

- Sandra Ramos, Antónia Amaral Turkman and Marília Antunes
- A new skew generalization of the normal distribution: Properties and applications pp. 2021-2034

- V.J. García, E. Gómez-Déniz and F.J. Vázquez-Polo
- Nonparametric k-sample test based on kernel density estimator for paired design pp. 2035-2045

- Pablo Martínez-Camblor
- Familial database search on two-person mixture pp. 2046-2051

- Yuk-Ka Chung, Wing K. Fung and Yue-Qing Hu
Volume 54, issue 7, 2010
- Fast kernel conditional density estimation: A dual-tree Monte Carlo approach pp. 1707-1718

- Michael P. Holmes, Alexander G. Gray and Charles Lee Isbell
- A path sampling identity for computing the Kullback-Leibler and J divergences pp. 1719-1731

- Geneviève Lefebvre, Russell Steele and Alain C. Vandal
- Prediction for Pareto distribution based on progressively Type-II censored samples pp. 1732-1743

- Mohammad Z. Raqab, A. Asgharzadeh and R. Valiollahi
- Fisher scoring: An interpolation family and its Monte Carlo implementations pp. 1744-1755

- Yong Wang
- Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables pp. 1756-1765

- Tzu-Tsung Wong
- Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs pp. 1766-1776

- Carey E. Priebe, Youngser Park, David J. Marchette, John M. Conroy, John Grothendieck and Allen L. Gorin
- Statistical inference on attributed random graphs: Fusion of graph features and content pp. 1777-1790

- John Grothendieck, Carey E. Priebe and Allen L. Gorin
- Prediction of multivariate responses with a selected number of principal components pp. 1791-1807

- Inge Koch and Kanta Naito
- Multiple imputation method for the semiparametric accelerated failure time mixture cure model pp. 1808-1816

- Linzhi Xu and Jiajia Zhang
- Regression analysis of clustered interval-censored failure time data with informative cluster size pp. 1817-1823

- Xinyan Zhang and Jianguo Sun
- Bayesian skew selection for multivariate models pp. 1824-1839

- Anastasios Panagiotelis and Michael Smith
- Series of randomized complete block experiments with non-normal data pp. 1840-1857

- Arne C. Bathke, Solomon W. Harrar, Haiyan Wang, Ke Zhang and Hans-Peter Piepho
- Factorial and reduced K-means reconsidered pp. 1858-1871

- Marieke E. Timmerman, Eva Ceulemans, Henk A.L. Kiers and Maurizio Vichi
- Goodness-of-fit tests for modeling longitudinal ordinal data pp. 1872-1880

- Kuo-Chin Lin
- An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA pp. 1881-1893

- Sara Kherad-Pajouh and Olivier Renaud
Volume 54, issue 6, 2010
- Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs pp. 1419-1425

- Yaming Yu
- Obtaining more information from conjoint experiments by best-worst choices pp. 1426-1433

- Bart Vermeulen, Peter Goos and Martina Vandebroek
- Accurate estimation with one order statistic pp. 1434-1441

- Andrew G. Glen
- An active set algorithm to estimate parameters in generalized linear models with ordered predictors pp. 1442-1456

- Kaspar Rufibach
- Simplified modeling strategies for surrogate validation with multivariate failure-time data pp. 1457-1466

- José Cortiñas Abrahantes and Tomasz Burzykowski
- An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model pp. 1467-1474

- Linzhi Xu and Jiajia Zhang
- Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval pp. 1475-1483

- Mortaza Jamshidian, Wei Liu and Frank Bretz
- Optimized fixed-size kernel models for large data sets pp. 1484-1504

- K. De Brabanter, J. De Brabanter, J.A.K. Suykens and B. De Moor
- Optimized U-type designs on flexible regions pp. 1505-1515

- D.K.J. Lin, C. Sharpe and Peter Winker
- Binary trees for dissimilarity data pp. 1516-1524

- Raffaella Piccarreta
- Unified computational methods for regression analysis of zero-inflated and bound-inflated data pp. 1525-1534

- Yan Yang and Douglas Simpson
- Ensemble classification based on generalized additive models pp. 1535-1546

- Koen De Bock, Kristof Coussement and Dirk Van den Poel
- Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data pp. 1547-1558

- Debasis Kundu and Hatem Howlader
- An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring pp. 1559-1569

- Swagata Nandi and Isha Dewan
- The aggregate association index pp. 1570-1580

- Eric Beh
- Parameter estimations for generalized exponential distribution under progressive type-I interval censoring pp. 1581-1591

- D.G. Chen and Y.L. Lio
- Testing for two components in a switching regression model pp. 1592-1604

- Jörn Dannemann and Hajo Holzmann
- A cluster analysis selection strategy for supersaturated designs pp. 1605-1612

- Peng Li, Shengli Zhao and Runchu Zhang
- Estimation of Kendall's tau from censored data pp. 1613-1621

- Jin-Jian Hsieh
- A Bayesian solution to the multivariate Behrens-Fisher problem pp. 1622-1633

- Patrícia de Siqueira Ramos and Daniel Furtado Ferreira
- A control chart based on likelihood ratio test for detecting patterned mean and variance shifts pp. 1634-1645

- Qin Zhou, Yunzhao Luo and Zhaojun Wang
- Incorporating historical control information into quantal bioassay with Bayesian approach pp. 1646-1656

- D.G. Chen
- Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion pp. 1657-1671

- David C. Wheeler, DeMarc A. Hickson and Lance A. Waller
- Distance-based tree models for ranking data pp. 1672-1682

- Paul H. Lee and Philip Yu
- A comparative study of robust designs for M-estimated regression models pp. 1683-1695

- Douglas P. Wiens and Eden K.H. Wu
- Testing, monitoring, and dating structural changes in exchange rate regimes pp. 1696-1706

- Achim Zeileis, Ajay Shah and Ila Patnaik
Volume 54, issue 5, 2010
- The Bayesian Additive Classification Tree applied to credit risk modelling pp. 1197-1205

- Junni L. Zhang and Wolfgang K. Härdle
- Bayesian estimation of random effects models for multivariate responses of mixed data pp. 1206-1218

- Helga Wagner and Regina Tüchler
- k-mean alignment for curve clustering pp. 1219-1233

- Laura M. Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli
- Score tests for overdispersion in zero-inflated Poisson mixed models pp. 1234-1246

- Zhao Yang, James W. Hardin and Cheryl L. Addy
- Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications pp. 1247-1265

- Namgil Lee and Jong-Min Kim
- Influence analyses of skew-normal/independent linear mixed models pp. 1266-1280

- Camila B. Zeller, Filidor V. Labra, Victor H. Lachos and N. Balakrishnan
- Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme pp. 1281-1287

- Dewi Rahardja and Dean M. Young
- Model selection with the Loss Rank Principle pp. 1288-1306

- Marcus Hutter and Minh-Ngoc Tran
- Improved likelihood inference in Birnbaum-Saunders regressions pp. 1307-1316

- Artur J. Lemonte, Silvia L.P. Ferrari and Francisco Cribari-Neto
- Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution pp. 1317-1327

- Melissa A. Bingham, Daniel J. Nordman and Stephen B. Vardeman
- ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors pp. 1328-1341

- Wan-Lun Wang and Tsai-Hung Fan
- Using earlier measures in a longitudinal sequence as a potential surrogate for a later one pp. 1342-1354

- Assam Pryseley, Abel Tilahun, Ariel Alonso and Geert Molenberghs
- Data-driven neighborhood selection of a Gaussian field pp. 1355-1371

- Nicolas Verzelen
- One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity pp. 1372-1380

- Shu-Fei Wu, Ying-Po Lin and Yuh-Ru Yu
- Entropy coefficient of determination for generalized linear models pp. 1381-1389

- Nobuoki Eshima and Minoru Tabata
- Pattern recognition via projection-based kNN rules pp. 1390-1403

- Ricardo Fraiman, Ana Justel and Marcela Svarc
- Erratum to: "Confidence intervals for quantiles using generalized lambda distributions" [Comput. Statist. Data Anal. 53 (2009) 3324-3333] pp. 1404-1404

- Steve Su
- Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data pp. 1405-1418

- David R.J. Pleydell and Stéphane Chrétien
Volume 54, issue 4, 2010
- On the Use of the Terms Repeatability and Reproducibility Regarding "Reproducibility of genotypes as measured by the Affymetrix GeneChip(R) 100Â K Human Mapping Array Set" by Fridley and colleagues (2008) Comput. Stat. Data Anal. 52:5367-74 pp. 803-803

- Reinhard Vonthein and Andreas Ziegler
- Comparing two independent samples using the risk difference under inverse sampling pp. 804-805

- Joachim Röhmel
- Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs pp. 806-815

- R.J. O'Hara Hines and W.G.S. Hines
- Bayesian density estimation and model selection using nonparametric hierarchical mixtures pp. 816-832

- Raffaele Argiento, Alessandra Guglielmi and Antonio Pievatolo
- A goodness of fit test for the Pareto distribution in the presence of Type II censoring, based on the cumulative hazard function pp. 833-842

- Dayna P. Saldaña-Zepeda, Humberto Vaquera-Huerta and Barry C. Arnold
- RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator pp. 843-857

- M. Schyns, G. Haesbroeck and F. Critchley
- Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods pp. 858-862

- Pierre Duchesne and Pierre Lafaye De Micheaux
- Shewhart-type control charts for variation in phase I data analysis pp. 863-874

- S.W. Human, S. Chakraborti and C.F. Smit
- Robust designs for generalized linear models with possible overdispersion and misspecified link functions pp. 875-890

- Adeniyi J. Adewale and Xiaojian Xu
- Penalized spline estimation for functional coefficient regression models pp. 891-905

- Yanrong Cao, Haiqun Lin, Tracy Z. Wu and Yan Yu
- Inferences on the common mean of several inverse Gaussian populations pp. 906-915

- Ren-Dao Ye, Tie-Feng Ma and Song-Gui Wang
- Allowing for the effect of data binning in a Bayesian Normal mixture model pp. 916-923

- C.L. Alston and K.L. Mengersen
- Estimating turning points of the failure rate of the extended Weibull distribution pp. 924-934

- Ramesh C. Gupta, Sergey Lvin and Cheng Peng
- A new distribution with decreasing, increasing and upside-down bathtub failure rate pp. 935-944

- Rodrigo B. Silva, Wagner Barreto-Souza and Gauss M. Cordeiro
- The beta generalized half-normal distribution pp. 945-957

- Rodrigo R. Pescim, Clarice G.B. Demétrio, Gauss M. Cordeiro, Edwin M.M. Ortega and Mariana R. Urbano
- Test of fit for a Laplace distribution against heavier tailed alternatives pp. 958-965

- Yulia R. Gel
- Robust online signal extraction from multivariate time series pp. 966-975

- Vivian Lanius and Ursula Gather
- A sparse eigen-decomposition estimation in semiparametric regression pp. 976-986

- Li-Ping Zhu, Zhou Yu and Li-Xing Zhu
- Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models pp. 987-1001

- Esmeralda Ramalho and Joaquim Ramalho
- Assessment of diagnostic procedures in symmetrical nonlinear regression models pp. 1002-1016

- Luis Hernando Vanegas and Francisco José A. Cysneiros
- The log-exponentiated Weibull regression model for interval-censored data pp. 1017-1035

- Elizabeth M. Hashimoto, Edwin M.M. Ortega, Vicente G. Cancho and Gauss M. Cordeiro
- Rank regression for analysis of clustered data: A natural induced smoothing approach pp. 1036-1050

- Liya Fu, You-Gan Wang and Zhidong Bai
- Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies pp. 1051-1065

- Nicoleta Serban
- Unified generalized iterative scaling and its applications pp. 1066-1078

- Wei Gao, Ning-Zhong Shi, Man-Lai Tang, Lianyan Fu and Guoliang Tian
- An empirical likelihood-based method for comparison of treatment effects--Test of equality of coefficients in linear models pp. 1079-1088

- Haiyan Su and Hua Liang
- Dimension reduction using the generalized gradient direction pp. 1089-1102

- Junlong Zhao and Xiuli Zhao
- A simulation study comparing methods for calculating confidence intervals for directly standardized rates pp. 1103-1108

- Michael Bruce Swift
- A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model pp. 1109-1116

- Ling Chen and Jianguo Sun
- A variable selection method in principal canonical correlation analysis pp. 1117-1123

- Toru Ogura
- Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry pp. 1124-1137

- George C. Tseng
- Bayesian nonparametric quantile regression using splines pp. 1138-1150

- Paul Thompson, Yuzhi Cai, Rana Moyeed, Dominic Reeve and Julian Stander
- Small area estimation with spatial similarity pp. 1151-1166

- Nicholas T. Longford
- Robust smoothing of gridded data in one and higher dimensions with missing values pp. 1167-1178

- Damien Garcia
- Modeling epigenetic modifications under multiple treatment conditions pp. 1179-1189

- Dong Wang
- Polynomial Trendline function flaws in Microsoft Excel pp. 1190-1196

- Bruce R. Hargreaves and Thomas P. McWilliams
Volume 54, issue 3, 2010
- Second special issue on statistical algorithms and software pp. 609-610

- Cristian Gatu and B McCullough
- hsmm -- An R package for analyzing hidden semi-Markov models pp. 611-619

- Jan Bulla, Ingo Bulla and Oleg Nenadic
- A note on an iterative algorithm for nonparametric estimation in biased sampling models pp. 620-624

- Ori Davidov and George Iliopoulos
- Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications pp. 625-636

- Juan Carlos Escanciano and David Jacho-Chávez
- Using combinatorial optimization in model-based trimmed clustering with cardinality constraints pp. 637-654

- María Teresa Gallegos and Gunter Ritter
- Finding approximate solutions to combinatorial problems with very large data sets using BIRCH pp. 655-667

- Justin Harrington and Matias Salibián-Barrera
- Mining and visualising ordinal data with non-parametric continuous BBNs pp. 668-687

- A.M. Hanea, D. Kurowicka, Roger Cooke and D.A. Ababei
- Distributed evolutionary Monte Carlo for Bayesian computing pp. 688-697

- Bo Hu and Kam-Wah Tsui
- On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation pp. 698-710

- Alessandra Iacobucci, Jean-Michel Marin and Christian Robert
- Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models pp. 711-723

- P.D. McNicholas, T.B. Murphy, A.F. McDaid and D. Frost
- Implementing Bayesian predictive procedures: The K-prime and K-square distributions pp. 724-731

- Jacques Poitevineau and Bruno Lecoutre
- Learning mixture models via component-wise parameter smoothing pp. 732-749

- Chandan K. Reddy and Bala Rajaratnam
- Acceleration of the EM algorithm via extrapolation methods: Review, comparison and new methods pp. 750-766

- Foued Saâdaoui
- GAP: A graphical environment for matrix visualization and cluster analysis pp. 767-778

- Han-Ming Wu, Yin-Jing Tien and Chun-houh Chen
- Unbiased generalized quasi-regression pp. 779-789

- Guijun Yang, Zhigang Wang and Wei Deng
- Impact of non-normal random effects on inference by multiple imputation: A simulation assessment pp. 790-801

- Recai M. Yucel and Hakan Demirtas
Volume 54, issue 2, 2010
- Nonparametric density estimation for positive time series pp. 245-261

- Taoufik Bouezmarni and Jeroen Rombouts
- Graphical methods for investigating the finite-sample properties of confidence regions pp. 262-271

- Christian de Peretti and Carole Siani
- Efficient Monte Carlo computation of Fisher information matrix using prior information pp. 272-289

- Sonjoy Das, James C. Spall and Roger Ghanem
- Kernel-based machine learning for fast text mining in R pp. 290-297

- Alexandros Karatzoglou and Ingo Feinerer
- A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests pp. 298-307

- Dunlei Cheng, Adam J. Branscum and James Stamey
- Core Shape modelling of a set of curves pp. 308-325

- S. Boudaoud, H. Rix and O. Meste
- Estimation of the Birnbaum-Saunders regression model with current status data pp. 326-332

- Qingchu Xiao, Zaiming Liu, N. Balakrishnan and Xuewen Lu
- Constrained linear regression models for symbolic interval-valued variables pp. 333-347

- Eufrásio de A. Lima Neto and Francisco de A.T. de Carvalho
- Improved estimators for a general class of beta regression models pp. 348-366

- Alexandre B. Simas, Wagner Barreto-Souza and Andréa V. Rocha
- Inference procedures for the Birnbaum-Saunders distribution and its generalizations pp. 367-373

- Simos G. Meintanis
- A generalization of Tyler's M-estimators to the case of incomplete data pp. 374-393

- Gabriel Frahm and Uwe Jaekel
- Further properties and new applications of the nested Dirichlet distribution pp. 394-405

- Guo-Liang Tian, Man-Lai Tang, Kam Chuen Yuen and Kai Wang Ng
- Multiple change-point detection of multivariate mean vectors with the Bayesian approach pp. 406-415

- Sooyoung Cheon and Jaehee Kim
- A two-component Weibull mixture to model early and late mortality in a Bayesian framework pp. 416-428

- Alessio Farcomeni and Alessandra Nardi
- Distance-based local linear regression for functional predictors pp. 429-437

- Eva Boj, Pedro Delicado and Josep Fortiana
- On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance pp. 438-451

- Jing-Hao Xue and D. Michael Titterington
- Least squares estimation of nonlinear spatial trends pp. 452-465

- Rosa M. Crujeiras and Ingrid Van Keilegom
- Confidence interval estimation of partial area under curve based on combined biomarkers pp. 466-472

- Lili Tian
- Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval pp. 473-495

- Masayuki Hirukawa
- Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations pp. 496-508

- Fukang Zhu and Dehui Wang
- On nonparametric local inference for density estimation pp. 509-515

- Ngai-Hang Chan, Thomas C.M. Lee and Liang Peng
- Exact D-optimal designs for a second-order response surface model on a circle with qualitative factors pp. 516-530

- Mong-Na Lo Huang, Chuan-Pin Lee, Ray-Bing Chen and Thomas Klein
- Empirical likelihood ratios applied to goodness-of-fit tests based on sample entropy pp. 531-545

- Albert Vexler and Gregory Gurevich
- Estimation of the marginal location under a partially linear model with missing responses pp. 546-564

- Ana Bianco, Graciela Boente, Wenceslao González-Manteiga and Ana Pérez-González
- An approximate Bayesian approach for quantitative trait loci estimation pp. 565-574

- Yu-Ling Chang, Fei Zou and Fred A. Wright
- An alternative specification of generalized linear mixed models pp. 575-584

- Nicola Sartori, T.A. Severini and E. Marras
- Semi-parametric marginal models for hierarchical data and their corresponding full models pp. 585-597

- Geert Molenberghs and Michael G. Kenward
- Clustering of discretely observed diffusion processes pp. 598-606

- Alessandro De Gregorio and Stefano Iacus
- Corrigendum to "Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions" [Comput. Statist. Data Anal. 53 (2009) 3817-3834] pp. 607-607

- Sung Nok Chiu and Kwong Ip Liu
Volume 54, issue 1, 2010
- Identifying financial time series with similar dynamic conditional correlation pp. 1-15

- Edoardo Otranto
- Fast surrogates of U-statistics pp. 16-24

- N. Lin and R. Xi
- Estimating smooth distribution function in the presence of heteroscedastic measurement errors pp. 25-36

- Xiao-Feng Wang, Zhaozhi Fan and Bin Wang
- Robust statistic for the one-way MANOVA pp. 37-48

- Valentin Todorov and Peter Filzmoser
- Grapham: Graphical models with adaptive random walk Metropolis algorithms pp. 49-54

- Matti Vihola
- Confidence interval estimation under inverse sampling pp. 55-64

- G.Y. Zou
- Asymptotic powers for matched trend tests and robust matched trend tests in case-control genetic association studies pp. 65-77

- Yong Zang, Wing Kam Fung and Gang Zheng
- Confidence intervals for median survival time with recurrent event data pp. 78-89

- Juan R. Gonzalez, Edsel A. Peña and Pedro Delicado
- Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages pp. 90-108

- Ivan Kojadinovic
- A multi-rater nonparametric test of agreement and corresponding agreement plot pp. 109-119

- Alan D. Hutson
- On multivariate binary data clustering and feature weighting pp. 120-134

- Nizar Bouguila
- A nonparametric test for the equality of counting processes with panel count data pp. 135-142

- N. Balakrishnan and Xingqiu Zhao
- Bayesian optimum designs for discriminating between models with any distribution pp. 143-150

- C. Tommasi and J. López-Fidalgo
- Two-sided tolerance intervals in the exponential case: Corrigenda and generalizations pp. 151-162

- Arturo J. Fernández
- The functional singular value decomposition for bivariate stochastic processes pp. 163-172

- Daniel Gervini
- Approximate conditional inference in mixed-effects models with binary data pp. 173-184

- Woojoo Lee, Jian Qing Shi and Youngjo Lee
- Reference analysis for Birnbaum-Saunders distribution pp. 185-192

- Ancha Xu and Yincai Tang
- Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values pp. 193-207

- Ying Yang and Jian Kang
- Longitudinal nominal data analysis using marginalized models pp. 208-218

- Keunbaik Lee and Donald Mercante
- Uniform design over general input domains with applications to target region estimation in computer experiments pp. 219-232

- S.C. Chuang and Y.C. Hung
- Ordered inference using observed confidence levels pp. 233-244

- Alan M. Polansky
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