Computational Statistics

2000 - 2025

Current editor(s): Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

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Volume 34, issue 4, 2019

The 2013 Data Expo of the American Statistical Association pp. 1443-1447

Heike Hofmann, Hadley Wickham and Dianne Cook

Putting down roots: a graphical exploration of community attachment pp. 1449-1464

Andee J. Kaplan and Eric R. Hare

A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi pp. 1465-1487

Karsten Maurer, Dave Osthus and Adam Loy

Consistency of survey opinions and external data pp. 1489-1509

Samuel Ackerman

Community engagement and subgroup meta-knowledge: some factors in the soul of a community pp. 1511-1535

Amelia A. McNamara

Clicks and cliques: exploring the soul of the community pp. 1537-1563

Natalia da Silva and Ignacio Alvarez-Castro

Soul of the community: an attempt to assess attachment to a community pp. 1565-1589

Anna Quach, Jürgen Symanzik and Nicole Forsgren

Drivers of community attachment: an interactive analysis pp. 1591-1611

Jessica M. Orth

Classification tree algorithm for grouped variables pp. 1613-1648

A. Poterie, J.-F. Dupuy, V. Monbet and L. Rouvière

Methods for estimating the optimal number and location of cut points in multivariate survival analysis: a statistical solution to the controversial effect of BMI pp. 1649-1674

Chung Chang, Meng-Ke Hsieh, An Jen Chiang, Yi-Hsuan Tsai, Chia-Chiung Liu and Jiabin Chen

Semiparametric approaches for matched case–control studies with error-in-covariates pp. 1675-1692

Nels G. Johnson and Inyoung Kim

Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling pp. 1693-1710

Prajamitra Bhuyan

Weighted composite quantile regression for single index model with missing covariates at random pp. 1711-1740

Huilan Liu, Hu Yang and Changgen Peng

Predicting missing values: a comparative study on non-parametric approaches for imputation pp. 1741-1764

Burim Ramosaj and Markus Pauly

Bootstrap ICC estimators in analysis of small clustered binary data pp. 1765-1778

Bei Wang, Yi Zheng, Kyle M. Irimata and Jeffrey R. Wilson

Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap pp. 1779-1813

Adrian O’Hagan, Thomas Brendan Murphy, Luca Scrucca and Isobel Claire Gormley

Model-based INAR bootstrap for forecasting INAR(p) models pp. 1815-1848

Luisa Bisaglia and Margherita Gerolimetto

Bagging of density estimators pp. 1849-1869

Mathias Bourel and Jairo Cugliari

Maximum likelihood method for bandwidth selection in kernel conditional density estimate pp. 1871-1887

Kateřina Konečná and Ivanka Horová

Four algorithms to construct a sparse kriging kernel for dimensionality reduction pp. 1889-1909

Christophette Blanchet-Scalliet, Céline Helbert, Mélina Ribaud and Céline Vial

Volume 34, issue 3, 2019

Proceedings of Reisensburg 2016–2017 pp. 943-944

Matthias Schmid, Bernd Bischl and Hans A. Kestler

Time series anomaly detection based on shapelet learning pp. 945-976

Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer and Bernd Bischl

OpenML: An R package to connect to the machine learning platform OpenML pp. 977-991

Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren and Bernd Bischl

Sparse kernel deep stacking networks pp. 993-1014

Thomas Welchowski and Matthias Schmid

Bayesian model-based clustering for longitudinal ordinal data pp. 1015-1038

Roy Costilla, Ivy Liu, Richard Arnold and Daniel Fernández

Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework pp. 1039-1053

Mohsen Maleki and Darren Wraith

A skew-normal dynamic linear model and Bayesian forecasting pp. 1055-1085

Reinaldo B. Arellano-Valle, Javier E. Contreras-Reyes, Freddy O. López Quintero and Abel Valdebenito

A note on parallel sampling in Markov graphs pp. 1087-1107

Verena Bauer, Karl Fürlinger and Göran Kauermann

A multiple-try Metropolis–Hastings algorithm with tailored proposals pp. 1109-1133

Xin Luo and Håkon Tjelmeland

Robust Bayesian seemingly unrelated regression model pp. 1135-1157

Chamberlain Mbah, Kris Peremans, Stefan Van Aelst and Dries F. Benoit

Objective Bayesian tests for Fieller–Creasy problem pp. 1159-1182

Dal Ho Kim, Woo Dong Lee, Sang Gil Kang and Yongku Kim

Periodic autoregressive models with closed skew-normal innovations pp. 1183-1213

T. Manouchehri and A. R. Nematollahi

Two-sided exponential–geometric distribution: inference and volatility modeling pp. 1215-1245

Emrah Altun

On the robustness of an epsilon skew extension for Burr III distribution on the real line pp. 1247-1273

Mehmet Niyazi Çankaya, Abdullah Yalçınkaya, Ömer Altındaǧ and Olcay Arslan

Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application pp. 1275-1313

N. Mamode Khan, Y. Sunecher, V. Jowaheer, M. M. Ristic and M. Heenaye-Mamode Khan

Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations pp. 1315-1335

Grisel Maribel Britos and Silvia María Ojeda

Recursive estimation of multivariate hidden Markov model parameters pp. 1337-1353

Jūratė Vaičiulytė and Leonidas Sakalauskas

An enhanced genetic algorithm with new mutation for cluster analysis pp. 1355-1392

M. A. El-Shorbagy, A. Y. Ayoub, A. A. Mousa and I. M. El-Desoky

Some new statistical methods for a class of zero-truncated discrete distributions with applications pp. 1393-1426

Guo-Liang Tian, Xiqian Ding, Yin Liu and Man-Lai Tang

Probability of misclassification in model-based clustering pp. 1427-1442

Xuwen Zhu

Volume 34, issue 2, 2019

Editorial on the special issue on Functional Data Analysis and Related Topics pp. 447-450

Germán Aneiros, Ricardo Cao and Philippe Vieu

Modeling functional data: a test procedure pp. 451-468

Enea G. Bongiorno, Aldo Goia and Philippe Vieu

Variable selection in functional additive regression models pp. 469-487

Manuel Febrero-Bande, Wenceslao González-Manteiga and Manuel Oviedo de la Fuente

Dynamic semi-parametric factor model for functional expectiles pp. 489-502

Petra Burdejová and Wolfgang Härdle

Robust exponential squared loss-based estimation in semi-functional linear regression models pp. 503-525

Ping Yu, Zhongyi Zhu and Zhongzhan Zhang

Functional data clustering via hypothesis testing k-means pp. 527-549

Adriano Zanin Zambom, Julian A. A. Collazos and Ronaldo Dias

Clusters of effects curves in quantile regression models pp. 551-569

Gianluca Sottile and Giada Adelfio

fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data pp. 571-597

Tomasz Górecki and Łukasz Smaga

High dimensional two-sample test based on the inter-point distance pp. 599-615

Shin-ichi Tsukada

Benefits of functional PCA in the analysis of single-trial auditory evoked potentials pp. 617-629

Jan Koláček, Ondřej Pokora, Daniela Kuruczová and Tzai-Wen Chiu

Clustering acoustic emission signals by mixing two stages dimension reduction and nonparametric approaches pp. 631-652

O. I. Traore, P. Cristini, N. Favretto-Cristini, L. Pantera, P. Vieu and S. Viguier-Pla

Binary surrogates with stratified samples when weights are unknown pp. 653-682

Yu-Min Huang

A first-order approximated jackknifed ridge estimator in binary logistic regression pp. 683-712

M. Revan Özkale and Engin Arıcan

Structure learning of sparse directed acyclic graphs incorporating the scale-free property pp. 713-742

Xiao Guo, Hai Zhang, Yao Wang and Yong Liang

Power comparison for propensity score methods pp. 743-761

Byeong Yeob Choi, Chen-Pin Wang, Joel Michalek and Jonathan Gelfond

Classification trees with soft splits optimized for ranking pp. 763-786

Jakub Dvořák

Median constrained bucket order rank aggregation pp. 787-802

Antonio D’Ambrosio, Carmela Iorio, Michele Staiano and Roberta Siciliano

Package mTEXO for testing the presence of outliers in exponential samples pp. 803-818

Chien-Tai Lin, Ying-Chen Lee and Narayanaswamy Balakrishnan

On the penalized maximum likelihood estimation of high-dimensional approximate factor model pp. 819-846

Shaoxin Wang, Hu Yang and Chaoli Yao

A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error pp. 847-863

Libo Sun, Chihoon Lee and Jennifer A. Hoeting

Permutation based testing on covariance separability pp. 865-883

Seongoh Park, Johan Lim, Xinlei Wang and Sanghan Lee

Weighted multiple testing procedure for grouped hypotheses with k-FWER control pp. 885-909

Li Wang

Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality pp. 911-941

Takayuki Yamada and Tetsuto Himeno

Volume 34, issue 1, 2019

The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories pp. 1-22

Satoshi Usami, Ross Jacobucci and Timothy Hayes

Estimating reducible stochastic differential equations by conversion to a least-squares problem pp. 23-46

Oscar García

SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials pp. 47-70

Md Abu Manju, Math J. J. M. Candel and Gerard J. P. van Breukelen

Pseudo-Bayesian D-optimal designs for longitudinal Poisson mixed models with correlated errors pp. 71-87

Hong-Yan Jiang and Rong-Xian Yue

An iterative algorithm to bound partial moments pp. 89-122

Sander Muns

Flexible regression modeling for censored data based on mixtures of student-t distributions pp. 123-152

Víctor H. Lachos, Celso R. B. Cabral, Marcos O. Prates and Dipak K. Dey

Joint modelling of two count variables when one of them can be degenerate pp. 153-171

Jacek Osiewalski and Jerzy Marzec

Modified beta modified-Weibull distribution pp. 173-199

Abdus Saboor, Muhammad Nauman Khan, Gauss M. Cordeiro, Marcelino A. R. Pascoa, Juliano Bortolini and Shahid Mubeen

Improved model-based clustering performance using Bayesian initialization averaging pp. 201-231

Adrian O’Hagan and Arthur White

Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals pp. 233-252

Manoj Chacko and Rakhi Mohan

Approximate Bayesian computation for Lorenz curves from grouped data pp. 253-279

Genya Kobayashi and Kazuhiko Kakamu

Neural network gradient Hamiltonian Monte Carlo pp. 281-299

Lingge Li, Andrew Holbrook, Babak Shahbaba and Pierre Baldi

Assessing variable importance in clustering: a new method based on unsupervised binary decision trees pp. 301-321

Badih Ghattas, Pierre Michel and Boyer Laurent

Shape mixtures of skew-t-normal distributions: characterizations and estimation pp. 323-347

Mostafa Tamandi, Ahad Jamalizadeh and Tsung-I Lin

Bootstrapping estimates of stability for clusters, observations and model selection pp. 349-372

Han Yu, Brian Chapman, Arianna Di Florio, Ellen Eischen, David Gotz, Mathews Jacob and Rachael Hageman Blair

An extension of the K-means algorithm to clustering skewed data pp. 373-394

Volodymyr Melnykov and Xuwen Zhu

Fusion learning algorithm to combine partially heterogeneous Cox models pp. 395-414

Lu Tang, Ling Zhou and Peter X. K. Song

Improving the prediction performance of the LASSO by subtracting the additive structural noises pp. 415-432

Morteza Amini and Mahdi Roozbeh

A homoscedasticity test for the accelerated failure time model pp. 433-446

Lili Yu, Liang Liu and Ding-Geng Chen