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ORCIDComputational Statistics, Volume 34
Volume 34, Number 1, March 2019
- Satoshi Usami, Ross Jacobucci, Timothy Hayes
:
The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories. 1-22 - Oscar García:
Estimating reducible stochastic differential equations by conversion to a least-squares problem. 23-46 - Md Abu Manju, Math J. J. M. Candel, Gerard J. P. Van Breukelen:
SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials. 47-70 - Hong-Yan Jiang, Rong-Xian Yue:
Pseudo-Bayesian D-optimal designs for longitudinal Poisson mixed models with correlated errors. 71-87 - Sander Muns:
An iterative algorithm to bound partial moments. 89-122 - Victor H. Lachos, Celso R. B. Cabral, Marcos Oliveira Prates, Dipak K. Dey:
Flexible regression modeling for censored data based on mixtures of student-t distributions. 123-152 - Jacek Osiewalski, Jerzy Marzec:
Joint modelling of two count variables when one of them can be degenerate. 153-171 - Abdus Saboor, Muhammad Nauman Khan, Gauss M. Cordeiro, Marcelino A. R. Pascoa, Juliano Bortolini, Shahid Mubeen:
Modified beta modified-Weibull distribution. 173-199 - Adrian O'Hagan, Arthur J. White:
Improved model-based clustering performance using Bayesian initialization averaging. 201-231 - Manoj Chacko, Rakhi Mohan:
Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals. 233-252 - Genya Kobayashi, Kazuhiko Kakamu:
Approximate Bayesian computation for Lorenz curves from grouped data. 253-279 - Lingge Li, Andrew Holbrook, Babak Shahbaba, Pierre Baldi:
Neural network gradient Hamiltonian Monte Carlo. 281-299 - Badih Ghattas, Pierre Michel, Laurent Boyer:
Assessing variable importance in clustering: a new method based on unsupervised binary decision trees. 301-321 - Mostafa Tamandi, Ahad Jamalizadeh, Tsung-I Lin:
Shape mixtures of skew-t-normal distributions: characterizations and estimation. 323-347 - Han Yu, Brian E. Chapman, Arianna Di Florio, Ellen Eischen, David Gotz, Mathews Jacob, Rachael Hageman Blair:
Bootstrapping estimates of stability for clusters, observations and model selection. 349-372 - Volodymyr Melnykov, Xuwen Zhu:
An extension of the K-means algorithm to clustering skewed data. 373-394 - Lu Tang, Ling Zhou, Peter X. K. Song:
Fusion learning algorithm to combine partially heterogeneous Cox models. 395-414 - Morteza Amini, Mahdi Roozbeh:
Improving the prediction performance of the LASSO by subtracting the additive structural noises. 415-432 - Lili Yu, Liang Liu, Ding-Geng Chen:
A homoscedasticity test for the accelerated failure time model. 433-446
Volume 34, Number 2, June 2019
- Germán Aneiros, Ricardo Cao, Philippe Vieu:
Editorial on the special issue on Functional Data Analysis and Related Topics. 447-450 - Enea G. Bongiorno, Aldo Goia, Philippe Vieu:
Modeling functional data: a test procedure. 451-468 - Manuel Febrero-Bande, Wenceslao González-Manteiga, Manuel Oviedo de la Fuente:
Variable selection in functional additive regression models. 469-487 - Petra Burdejová, Wolfgang K. Härdle:
Dynamic semi-parametric factor model for functional expectiles. 489-502 - Ping Yu, Zhongyi Zhu, Zhongzhan Zhang:
Robust exponential squared loss-based estimation in semi-functional linear regression models. 503-525 - Adriano Zanin Zambom, Julian A. A. Collazos, Ronaldo Dias:
Functional data clustering via hypothesis testing k-means. 527-549 - Gianluca Sottile, Giada Adelfio:
Clusters of effects curves in quantile regression models. 551-569 - Tomasz Górecki, Lukasz Smaga:
fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data. 571-597 - Shin-ichi Tsukada:
High dimensional two-sample test based on the inter-point distance. 599-615 - Jan Kolácek, Ondrej Pokora, Daniela Kuruczová, Tzai-Wen Chiu:
Benefits of functional PCA in the analysis of single-trial auditory evoked potentials. 617-629 - Oumar Issiaka Traore, Paul Cristini, Nathalie Favretto-Cristini, Laurent Pantera, Philippe Vieu, Sylvie Viguier-Pla:
Clustering acoustic emission signals by mixing two stages dimension reduction and nonparametric approaches. 631-652
- Yu-Min Huang:
Binary surrogates with stratified samples when weights are unknown. 653-682 - M. Revan Özkale, Engin Arican:
A first-order approximated jackknifed ridge estimator in binary logistic regression. 683-712 - Xiao Guo, Hai Zhang, Yao Wang, Yong Liang:
Structure learning of sparse directed acyclic graphs incorporating the scale-free property. 713-742 - Byeong Yeob Choi, Chen-Pin Wang, Joel E. Michalek, Jonathan A. Gelfond:
Power comparison for propensity score methods. 743-761 - Jakub Dvorák:
Classification trees with soft splits optimized for ranking. 763-786 - Antonio D'Ambrosio, Carmela Iorio, Michele Staiano, Roberta Siciliano:
Median constrained bucket order rank aggregation. 787-802 - Chien-Tai Lin, Ying-Chen Lee, Narayanaswamy Balakrishnan:
Package mTEXO for testing the presence of outliers in exponential samples. 803-818 - Shaoxin Wang, Hu Yang, Chaoli Yao:
On the penalized maximum likelihood estimation of high-dimensional approximate factor model. 819-846 - Libo Sun, Chihoon Lee, Jennifer A. Hoeting:
A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error. 847-863 - Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee:
Permutation based testing on covariance separability. 865-883 - Li Wang:
Weighted multiple testing procedure for grouped hypotheses with k-FWER control. 885-909 - Takayuki Yamada, Tetsuto Himeno:
Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality. 911-941
Volume 34, Number 3, September 2019
- Matthias Schmid, Bernd Bischl, Hans A. Kestler:
Proceedings of Reisensburg 2016-2017. 943-944 - Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer, Bernd Bischl:
Time series anomaly detection based on shapelet learning. 945-976 - Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl:
OpenML: An R package to connect to the machine learning platform OpenML. 977-991 - Thomas Welchowski, Matthias Schmid:
Sparse kernel deep stacking networks. 993-1014
- Roy Costilla, Ivy Liu, Richard Arnold, Daniel Fernández:
Bayesian model-based clustering for longitudinal ordinal data. 1015-1038 - Mohsen Maleki, Darren Wraith:
Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework. 1039-1053 - Reinaldo Boris Arellano-Valle, Javier E. Contreras-Reyes, Freddy Omar López Quintero, Abel Valdebenito:
A skew-normal dynamic linear model and Bayesian forecasting. 1055-1085 - Verena Bauer, Karl Fürlinger, Göran Kauermann:
A note on parallel sampling in Markov graphs. 1087-1107 - Xin Luo, Håkon Tjelmeland:
A multiple-try Metropolis-Hastings algorithm with tailored proposals. 1109-1133 - Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries F. Benoit:
Robust Bayesian seemingly unrelated regression model. 1135-1157 - Dal Ho Kim, Woo Dong Lee, Sanggil Kang, Yongku Kim:
Objective Bayesian tests for Fieller-Creasy problem. 1159-1182 - Tahere Manouchehri, A. R. Nematollahi:
Periodic autoregressive models with closed skew-normal innovations. 1183-1213 - Emrah Altun:
Two-sided exponential-geometric distribution: inference and volatility modeling. 1215-1245 - Mehmet Niyazi Çankaya, Abdullah Yalçinkaya, Ömer Altindag, Olçay Arslan:
On the robustness of an epsilon skew extension for Burr III distribution on the real line. 1247-1273 - Naushad Mamode Khan, Yuvraj Sunecher, Vandna Jowaheer, Miroslav M. Ristic, Maleika Heenaye-Mamode Khan:
Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application. 1275-1313 - Grisel Maribel Britos, Silvia María Ojeda:
Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations. 1315-1335 - Jurate Vaiciulyte, Leonidas Sakalauskas:
Recursive estimation of multivariate hidden Markov model parameters. 1337-1353 - Mohammed A. El-Shorbagy, A. Y. Ayoub, Abd Allah A. Mousa, I. M. El-Desoky:
An enhanced genetic algorithm with new mutation for cluster analysis. 1355-1392 - Guo-Liang Tian, Xiqian Ding, Yin Liu, Man-Lai Tang:
Some new statistical methods for a class of zero-truncated discrete distributions with applications. 1393-1426 - Xuwen Zhu:
Probability of misclassification in model-based clustering. 1427-1442
Volume 34, Number 4, December 2019
- Heike Hofmann, Hadley Wickham, Dianne Cook:
The 2013 Data Expo of the American Statistical Association. 1443-1447 - Andee Kaplan, Eric Hare:
Putting down roots: a graphical exploration of community attachment. 1449-1464 - Karsten Maurer, Dave Osthus, Adam Loy:
A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi. 1465-1487 - Samuel Ackerman:
Consistency of survey opinions and external data. 1489-1509 - Amelia McNamara:
Community engagement and subgroup meta-knowledge: some factors in the soul of a community. 1511-1535 - Natalia da Silva, Ignacio Alvarez-Castro:
Clicks and cliques: exploring the soul of the community. 1537-1563 - Anna T. Quach, Jürgen Symanzik, Nicole Forsgren:
Soul of the community: an attempt to assess attachment to a community. 1565-1589 - Jessica M. Orth:
Drivers of community attachment: an interactive analysis. 1591-1611
- Audrey Poterie, Jean-François Dupuy, Valérie Monbet, Laurent Rouvìère:
Classification tree algorithm for grouped variables. 1613-1648 - Chung Chang, Meng-Ke Hsieh, An-Jen Chiang, Yi-Hsuan Tsai, Chia-Chiung Liu, Jiabin Chen:
Methods for estimating the optimal number and location of cut points in multivariate survival analysis: a statistical solution to the controversial effect of BMI. 1649-1674 - Nels G. Johnson, Inyoung Kim:
Semiparametric approaches for matched case-control studies with error-in-covariates. 1675-1692 - Prajamitra Bhuyan:
Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling. 1693-1710 - Huilan Liu, Hu Yang, Changgen Peng:
Weighted composite quantile regression for single index model with missing covariates at random. 1711-1740 - Burim Ramosaj, Markus Pauly:
Predicting missing values: a comparative study on non-parametric approaches for imputation. 1741-1764 - Bei Wang, Yi Zheng, Kyle M. Irimata, Jeffrey R. Wilson:
Bootstrap ICC estimators in analysis of small clustered binary data. 1765-1778 - Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca, Isobel Claire Gormley:
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. 1779-1813 - Luisa Bisaglia, Margherita Gerolimetto:
Model-based INAR bootstrap for forecasting INAR(p) models. 1815-1848 - Mathias Bourel, Jairo Cugliari:
Bagging of density estimators. 1849-1869 - Katerina Konecná, Ivanka Horová:
Maximum likelihood method for bandwidth selection in kernel conditional density estimate. 1871-1887 - Christophette Blanchet-Scalliet, Céline Helbert, Mélina Ribaud, Céline Vial:
Four algorithms to construct a sparse kriging kernel for dimensionality reduction. 1889-1909
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