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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
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