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ORCIDStatistical Analysis and Data Mining, Volume 13
Volume 13, Number 1, February 2020
- Haiyan Cai
, Bryan Goggin, Qingtang Jiang:
Two-sample test based on classification probability. 5-13 - Alastair Gregory, Kaushik Jana:
Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams. 14-30 - Timothy J. Kiely, Nathaniel D. Bastian:
The spatially conscious machine learning model. 31-49 - Shapour Mohammadi:
Neural network for univariate and multivariate nonlinearity tests. 50-70 - Wenhui Sheng, Qingcong Yuan:
Sufficient dimension folding in regression via distance covariance for matrix-valued predictors. 71-82 - Giovanna Menardi:
Nonparametric clustering for image segmentation. 83-97 - Jiaxi Liang, Shoja'eddin Chenouri, Christopher G. Small:
A new method for performance analysis in nonlinear dimensionality reduction. 98-108
Volume 13, Number 2, April 2020
- Tri Le, Bertrand S. Clarke:
In praise of partially interpretable predictors. 113-133 - Andrew J. Sage, Ulrike Genschel, Dan Nettleton:
Tree aggregation for random forest class probability estimation. 134-150 - Fatemeh Najafi, Hamid Parvin, Kamal Mirzaie, Samad Nejatian, Vahideh Rezaie:
Dependability-based cluster weighting in clustering ensemble. 151-164 - Ling Wang, Kang Li, Qian Ma, Yanrong Lu:
Hybrid dynamic learning mechanism for multivariate time series segmentation. 165-177
- Zhenfeng Lin, James P. Long:
A flexible procedure for mixture proportion estimation in positive-unlabeled learning. 178-187
- Soyoung Park, Alicia L. Carriquiry:
An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature. 188-199
Volume 13, Number 3, June 2020
- Mohamad A. Fawzy:
Prediction of Kumaraswamy distribution in constant-stress model based on type-I hybrid censored data. 205-215
- Xiaoying Zhou, Feipeng Zhang:
Bent line quantile regression via a smoothing technique. 216-228 - Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe:
Vertex nomination via seeded graph matching. 229-244 - Agnieszka Jastrzebska:
Lagged encoding for image-based time series classification using convolutional neural networks. 245-260 - Luann C. Jung, Haiyan Wang, Xukun Li, Cen Wu:
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data. 261-281 - Vanha Tran, Lizhen Wang:
Delaunay triangulation-based spatial colocation pattern mining without distance thresholds. 282-304
Volume 13, Number 4, August 2020
- Belgin Ergenç Bostanoglu, Ahmet Cumhur Öztürk:
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds. 309-323 - Nathaniel Garton, Jarad Niemi, Alicia L. Carriquiry:
Knot selection in sparse Gaussian processes with a variational objective function. 324-336 - David Pritchard, Yufeng Liu:
Composite quantile-based classifiers. 337-353 - Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. 354-376 - Youjiao Yu, Brian P. Gorman, Amanda S. Hering:
Objective identification of local spatial structure for material characterization. 377-393
- Deepika Singh, Anjana Gosain, Anju Saha:
Weighted k-nearest neighbor based data complexity metrics for imbalanced datasets. 394-404
- Omid M. Ardakani, Majid Asadi, Nader Ebrahimi, Ehsan S. Soofi:
MR plot: A big data tool for distinguishing distributions. 405-418
Volume 13, Number 5, October 2020
- Zhi Ji, Yang Wei, Zhouping Li:
SURE estimates for high dimensional classification. 423-436 - Yufei Wu, Guan Yu:
Weighted linear programming discriminant analysis for high-dimensional binary classification. 437-450 - Taylor Larkin, Denise Johnson McManus:
An analytical toast to wine: Using stacked generalization to predict wine preference. 451-464 - Shariq Mohammed, Dipak K. Dey, Yuping Zhang:
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. 465-481 - Marzena Nowakowska, Karolina Beben, Michal Pajecki:
Use of data mining in a two-step process of profiling student preferences in relation to the enhancement of English as a foreign language teaching. 482-498 - Andrea Martino, Giuseppina Guatteri, Anna Maria Paganoni:
Multivariate Hidden Markov Models for disease progression. 499-507 - Guan-Hua Huang, Chih-Hsuan Lin, Yu-Ren Cai, Tai-Been Chen, Shih-Yen Hsu, Nan-Han Lu, Huei-Yung Chen, Yi-Chen Wu:
Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction. 508-523
Volume 13, Number 6, December 2020
Rapid Research Article
- Buddhananda Banerjee, Arnab K. Laha, Arjun Lakra:
Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data. 529-536
- John Sperger, Nikki L. B. Freeman, Xiaotong Jiang, David Bang, Daniel de Marchi, Michael R. Kosorok:
The future of precision health is data-driven decision support. 537-543 - Margaret Betz, Ellen Gundlach, Elizabett Hillery, Jenna L. Rickus, Mark Daniel Ward:
The next wave: We will all be data scientists. 544-547 - Jirí Dvorák, Sárka Hudecová, Stanislav Nagy:
Clover plot: Versatile visualization in nonparametric classification. 548-564 - Chih-Fong Tsai:
Two-stage hybrid learning techniques for bankruptcy prediction. 565-572
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