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ORCIDStatistical Analysis and Data Mining, Volume 16
Volume 16, Number 1, February 2023
RESEARCH ARTICLES
- Weijun Xu
, Zhineng Fu, Hongyi Li, Jinglong Huang, Weidong Xu, Yiyang Luo:
A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model. 5-15 - Zarina Oflaz, Ceylan Yozgatligil, A. Sevtap Selcuk-Kestel:
Estimation of disease progression for ischemic heart disease using latent Markov with covariates. 16-28 - Alaettin Zubaroglu, Volkan Atalay:
Online embedding and clustering of evolving data streams. 29-44 - Siyu Zhou, Lucas Mentch:
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest. 45-64 - Silvia Golia, Paola Zola:
An auxiliary Part-of-Speech tagger for blog and microblog cyber-slang. 65-79 - Peng Lai, Qing Di, Zhezi Shen, Yanqiu Zhou:
Feature screening of ultrahigh dimensional longitudinal data based on the C-statistic. 80-91
CORRIGENDUM
- Corrigendum. 92
Volume 16, Number 2, April 2023
RESEARCH ARTICLES
- Yaqian Gao, Yifan Huang, Shengwang Meng:
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data. 97-119 - Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long:
Integrative learning of structured high-dimensional data from multiple datasets. 120-134 - David B. Dahl, Jacob Andros, J. Brandon Carter:
Cluster analysis via random partition distributions. 135-148 - Zhe Cheng, Xiangjian Xu, Zihao Song, Weihua Zhao:
Randomized algorithms for tensor response regression. 149-161 - Rafael Savvides, Jarmo Mäkelä, Kai Puolamäki:
Model selection with bootstrap validation. 162-186 - Runxin Li, Xuefeng Zhao, Zhenhong Shang, Lianyin Jia:
Semi-supervised multi-label learning with missing labels by exploiting feature-label correlations. 187-209
Volume 16, Number 3, June 2023
- Gabor Hannak, Gábor Horváth, Attila Kádár, Márk Dániel Szalai:
Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data. 215-223 - Zhan Liu, Junbo Zheng, Yingli Pan:
Doubly robust estimation for non-probability samples with modified intertwined probabilistic factors decoupling. 224-236 - Seonghyeon Kim, Sara Kim, Kunwoong Kim, Yongdai Kim:
Lq regularization for fair artificial intelligence robust to covariate shift. 237-256 - Insung Um, Geonseok Lee, Kichun Lee:
Adaptive boosting for ordinal target variables using neural networks. 257-271 - Han Yan, Sanguo Zhang, Shuangge Ma:
Hierarchy-assisted gene expression regulatory network analysis. 272-294 - Lixiang Zhang, Jia Li:
Robust deep neural network surrogate models with uncertainty quantification via adversarial training. 295-304 - Zichang Li, Xuejing Zhao:
Buckley-James estimation of generalized additive accelerated lifetime model with ultrahigh-dimensional data. 305-312
Volume 16, Number 4, August 2023
- Chiara Bocci, Anna Gottard, Thomas Brendan Murphy, Giovanni Camillo Porzio:
CLADAG 2021 special issue: Selected papers on classification and data analysis. 317-318 - Francesca Greselin, Alina Jedrzejczak, Kamila Trzcinska:
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy. 319-335 - Francesca Condino:
Share density-based clustering of income data. 336-347 - Xi Yu, Florian Schuberth, Jörg Henseler:
Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. 348-357 - Petra Laketa, Stanislav Nagy:
Simplicial depth: Characterization and reconstruction. 358-373 - Stanislav Nagy:
Simplicial depth and its median: Selected properties and limitations. 374-390 - Maurizio Carpita, Silvia Golia:
Categorical classifiers in multiclass classification with imbalanced datasets. 391-405
Volume 16, Number 5, October 2023
- Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault:
Association rules and decision rules. 411-435 - Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong:
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. 436-455 - Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead:
Semiparametric detection of changepoints in location, scale, and copula. 456-473 - Pascal Kilian, Daniel Leyhr, Christopher J. Urban, Oliver Höner, Augustin Kelava:
A deep learning factor analysis model based on importance-weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite soccer players. 474-487 - Ryan B. Christianson, Ryan M. Pollyea, Robert B. Gramacy:
Traditional kriging versus modern Gaussian processes for large-scale mining data. 488-506
Volume 16, Number 6, December 2023
- Moonsoo Jang, Soyoung Park, Alicia L. Carriquiry:
A finely tuned deep transfer learning algorithm to compare outsole images. 511-527 - Federico Veneri, Danica M. Ommen:
Ensemble learning for score likelihood ratios under the common source problem. 528-546 - Gabriel Lozano, Nadia Atallah, Michael Levine:
Nonparametric clustering of RNA-sequencing data. 547-559 - Dylan C. Friel, Yunzhe Li, Benjamin Ellis, Daniel R. Jeske, Herbert K. H. Lee, Philip H. Kass:
A neutral zone classifier for three classes with an application to text mining. 560-568 - Xiaoqiang Zhao, Qinglei Yao:
An Improved D2GAN-based oversampling algorithm for imbalanced data classification. 569-582 - Petr A. Koldanov, Alexander P. Koldanov, Dmitry P. Semenov:
Confidence bounds for threshold similarity graph in random variable network. 583-595
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