Journal of Applied Statistics, Volume 50, Issue 3 (2023)

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Journal of Applied Statistics, Volume 50, Issue 3 (2023)

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Statistical Approaches for Big Data and Machine Learning

Editorial

Editorial
Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning
Yichuan Zhao, Chi-Hua Chen, Feng Feng & Dragan Pamucar
Pages: 451-455
Published online: 07 Feb 2023
First Page PreviewforEditorial to the special issue: Statistical Approaches for Big Data and Machine Learning | Full Text | References | PDF (555.1 KB) | EPUB
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Free Access

Articles

Article
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference scale-invariant test
Liang Zhang, Tianming Zhu & Jin-Ting Zhang
Pages: 456-476
Published online: 19 Oct 2020
AbstractforTwo-sample Behrens–Fisher problems for high-dimensional data: a normal reference scale-invariant test | Full Text | References | PDF (1.7 MB) | EPUB | Supplemental
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Article
An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19
Denis A. Pustokhin, Irina V. Pustokhina, Phuoc Nguyen Dinh, Son Van Phan, Gia Nhu Nguyen, Gyanendra Prasad Joshi & Shankar K.
Pages: 477-494
Published online: 24 Nov 2020
AbstractforAn effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19 | Full Text | References | PDF (2.5 MB) | EPUB
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Article
A practical two-sample test for weighted random graphs
Mingao Yuan & Qian Wen
Pages: 495-511
Published online: 08 Feb 2021
AbstractforA practical two-sample test for weighted random graphs | Full Text | References | PDF (1.2 MB) | EPUB
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Article
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data
Mingtao Zhao, Xiaoli Xu, Yanling Zhu, Kongsheng Zhang & Yan Zhou
Pages: 512-534
Published online: 23 Mar 2021
AbstractforModel estimation and selection for partial linear varying coefficient EV models with longitudinal data | Full Text | References | PDF (1.6 MB) | EPUB
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Article
Regularized regression when covariates are linked on a network: the 3CoSE algorithm
Matthias Weber, Jonas Striaukas, Martin Schumacher & Harald Binder
Pages: 535-554
Published online: 07 Oct 2021
AbstractforRegularized regression when covariates are linked on a network: the 3CoSE algorithm | Full Text | References | PDF (1.4 MB) | EPUB
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Open Access
Article
A distributed multiple sample testing for massive data
Xie Xiaoyue, Jian Shi & Kai Song
Pages: 555-573
Published online: 06 Apr 2021
AbstractforA distributed multiple sample testing for massive data | Full Text | References | PDF (1.5 MB) | EPUB
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Application Note

Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling
Anton Thielmann, Christoph Weisser, Astrid Krenz & Benjamin Säfken
Pages: 574-591
Published online: 27 Apr 2021
AbstractforUnsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling | Full Text | References | PDF (2.4 MB) | EPUB | Supplemental
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Articles

Article
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks
Fang Fan, Shu-Chuan Chu, Jeng-Shyang Pan, Chuang Lin & Huiqi Zhao
Pages: 592-609
Published online: 26 May 2021
AbstractforAn optimized machine learning technology scheme and its application in fault detection in wireless sensor networks | Full Text | References | PDF (2.4 MB) | EPUB
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Article
Modeling multivariate cyber risks: deep learning dating extreme value theory
Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu & Peng Zhao
Pages: 610-630
Published online: 04 Jun 2021
AbstractforModeling multivariate cyber risks: deep learning dating extreme value theory | Full Text | References | PDF (2.4 MB) | EPUB
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Article
Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies
Wei Zhang, Colin O. Wu, Xiaoyang Ma, Xin Tian & Qizhai Li
Pages: 631-658
Published online: 15 Jun 2021
AbstractforAnalysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies | Full Text | References | PDF (2.7 MB) | EPUB
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Article
Noise-insensitive discriminative subspace fuzzy clustering
Xiaobin Zhi, Tongjun Yu, Longtao Bi & Yalan Li
Pages: 659-674
Published online: 16 Jun 2021
AbstractforNoise-insensitive discriminative subspace fuzzy clustering | Full Text | References | PDF (1.7 MB) | EPUB
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Article
Classification of histogram-valued data with support histogram machines
Ilsuk Kang, Cheolwoo Park, Young Joo Yoon, Changyi Park, Soon-Sun Kwon & Hosik Choi
Pages: 675-690
Published online: 01 Jul 2021
AbstractforClassification of histogram-valued data with support histogram machines | Full Text | References | PDF (1.7 MB) | EPUB
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Application Note

Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis
Xiaotong Liu, Guoliang Tian & Zhenqiu Liu
Pages: 691-702
Published online: 11 Sep 2021
AbstractforIdentification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis | Full Text | References | PDF (962.2 KB) | EPUB
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Article

Article
A generalized l2,p-norm regression based feature selection algorithm
X. Zhi, J. Liu, S. Wu & C. Niu
Pages: 703-723
Published online: 17 Sep 2021
AbstractforA generalized l2,p-norm regression based feature selection algorithm | Full Text | References | PDF (2.1 MB) | EPUB
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Application Note

Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation
Yujia Cheng, Yang Li, Matthew Lee Smith, Changwei Li & Ye Shen
Pages: 724-743
Published online: 07 Oct 2021
AbstractforAnalyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation | Full Text | References | PDF (1.8 MB) | EPUB
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Articles

Article
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner
Mi Zhou & Weixin Yao
Pages: 744-760
Published online: 10 Nov 2021
AbstractforSensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner | Full Text | References | PDF (1.8 MB) | EPUB
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Article
Model-assisted estimation in high-dimensional settings for survey data
Mehdi Dagdoug, Camelia Goga & David Haziza
Pages: 761-785
Published online: 17 Mar 2022
AbstractforModel-assisted estimation in high-dimensional settings for survey data | Full Text | References | PDF (3.4 MB) | EPUB | Supplemental
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Article
Handling high-dimensional data with missing values by modern machine learning techniques
Sixia Chen & Chao Xu
Pages: 786-804
Published online: 01 May 2022
AbstractforHandling high-dimensional data with missing values by modern machine learning techniques | Full Text | References | PDF (1.9 MB) | EPUB
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Article
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI
Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger & Joseph S. Koopmeiners
Pages: 805-826
Published online: 17 Dec 2021
AbstractforMulti-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI | Full Text | References | PDF (2.1 MB) | EPUB | Supplemental
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