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    Journal: Statistical Analysis and Data Mining

    Volume 13, Issue 6

    529 -- 536Buddhananda Banerjee, Arnab K. Laha, Arjun Lakra. Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data
    537 -- 543John 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
    544 -- 547Margaret Betz, Ellen Gundlach, Elizabett Hillery, Jenna L. Rickus, Mark Daniel Ward. The next wave: We will all be data scientists
    548 -- 564Jirí Dvorák, Sárka Hudecová, Stanislav Nagy. Clover plot: Versatile visualization in nonparametric classification
    565 -- 572Chih-Fong Tsai. Two-stage hybrid learning techniques for bankruptcy prediction

    Volume 13, Issue 5

    423 -- 436Zhi Ji, Yang Wei, Zhouping Li. SURE estimates for high dimensional classification
    437 -- 450Yufei Wu 0010, Guan Yu. Weighted linear programming discriminant analysis for high-dimensional binary classification
    451 -- 464Taylor Larkin, Denise Johnson McManus. An analytical toast to wine: Using stacked generalization to predict wine preference
    465 -- 481Shariq Mohammed, Dipak K. Dey, Yuping Zhang. Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior
    482 -- 498Marzena 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
    499 -- 507Andrea Martino, Giuseppina Guatteri, Anna Maria Paganoni. Multivariate Hidden Markov Models for disease progression
    508 -- 523Guan-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

    Volume 13, Issue 4

    309 -- 323Belgin Ergenç Bostanoglu, Ahmet Cumhur Öztürk. Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds
    324 -- 336Nathaniel Garton, Jarad Niemi, Alicia L. Carriquiry. Knot selection in sparse Gaussian processes with a variational objective function
    337 -- 353David Pritchard, Yufeng Liu. Composite quantile-based classifiers
    354 -- 376Yanfei Kang, Rob J. Hyndman, Feng Li. GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
    377 -- 393Youjiao Yu, Brian P. Gorman, Amanda S. Hering. Objective identification of local spatial structure for material characterization
    394 -- 404Deepika Singh, Anjana Gosain, Anju Saha. Weighted k-nearest neighbor based data complexity metrics for imbalanced datasets
    405 -- 418Omid M. Ardakani, Majid Asadi, Nader Ebrahimi, Ehsan S. Soofi. MR plot: A big data tool for distinguishing distributions

    Volume 13, Issue 3

    205 -- 215Mohamad A. Fawzy. Prediction of Kumaraswamy distribution in constant-stress model based on type-I hybrid censored data
    216 -- 228Xiaoying Zhou, Feipeng Zhang. Bent line quantile regression via a smoothing technique
    229 -- 244Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe. Vertex nomination via seeded graph matching
    245 -- 260Agnieszka Jastrzebska. Lagged encoding for image-based time series classification using convolutional neural networks
    261 -- 281Luann 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
    282 -- 304Vanha Tran, Lizhen Wang. Delaunay triangulation-based spatial colocation pattern mining without distance thresholds

    Volume 13, Issue 2

    113 -- 133Tri Le, Bertrand S. Clarke. In praise of partially interpretable predictors
    134 -- 150Andrew J. Sage, Ulrike Genschel, Dan Nettleton. Tree aggregation for random forest class probability estimation
    151 -- 164Fatemeh Najafi, Hamid Parvin, Kamal Mirzaie, Samad Nejatian, Vahideh Rezaie. Dependability-based cluster weighting in clustering ensemble
    165 -- 177Ling Wang, Kang Li, Qian Ma, Yanrong Lu. Hybrid dynamic learning mechanism for multivariate time series segmentation
    178 -- 187Zhenfeng Lin, James P. Long. A flexible procedure for mixture proportion estimation in positive-unlabeled learning
    188 -- 199Soyoung Park, Alicia L. Carriquiry. An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature

    Volume 13, Issue 1

    5 -- 13Haiyan Cai, Bryan Goggin, Qingtang Jiang. Two-sample test based on classification probability
    14 -- 30Alastair Gregory, Kaushik Jana. Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams
    31 -- 49Timothy J. Kiely, Nathaniel D. Bastian. The spatially conscious machine learning model
    50 -- 70Shapour Mohammadi. Neural network for univariate and multivariate nonlinearity tests
    71 -- 82Wenhui Sheng, Qingcong Yuan. Sufficient dimension folding in regression via distance covariance for matrix-valued predictors
    83 -- 97Giovanna Menardi. Nonparametric clustering for image segmentation
    98 -- 108Jiaxi Liang, Shoja'eddin Chenouri, Christopher G. Small. A new method for performance analysis in nonlinear dimensionality reduction
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