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ORCIDStatistical Analysis and Data Mining, Volume 15
Volume 15, Number 1, February 2022
- James P. Long
, Min Jin Ha:
Sample selection bias in evaluation of prediction performance of causal models. 5-14
- Jun Zhang, Gaorong Li, Yiping Yang:
Modal linear regression models with multiplicative distortion measurement errors. 15-42 - Olga Permiakova, Thomas Burger:
Sketched Stochastic Dictionary Learning for large-scale data and application to high-throughput mass spectrometry. 43-56 - Yoonsuh Jung, Hayoung Kim:
Weighted validation of heteroscedastic regression models for better selection. 57-68 - Yifan Zhao, Xian Yang, Carolina Bolnykh, Steve Harenberg, Nodirbek Korchiev, Saavan Raj Yerramsetty, Bhanu Prasad Vellanki, Ramakanth Kodumagulla, Nagiza F. Samatova:
Predictive models with end user preference. 69-82 - Karin S. Dorman, Ranjan Maitra:
An efficient k-modes algorithm for clustering categorical datasets. 83-97 - Martha Lucía Corrales, Edilberto Cepeda Cuervo:
Bayesian modeling of location, scale, and shape parameters in skew-normal regression models. 98-111 - Jessica Krepel, Magdalena Kircher, Moritz Kohls, Klaus Jung:
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets. 112-124 - Yannis G. Yatracos:
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensional L2-regression. 125-138
Volume 15, Number 2, April 2022
- Anand Dixit, Vivekananda Roy:
Analyzing relevance vector machines using a single penalty approach. 143-155 - Sreelekha Guggilam, Varun Chandola, Abani K. Patra:
Tracking clusters and anomalies in evolving data streams. 156-178 - Shu-Mei Wan, Wen-Yaw Chung, Monica Mayeni Manurung, Kwang-Hwa Chang, Chien-Hua Wu:
Regrouped design in privacy analysis for multinomial microdata. 179-192 - Hoyoung Park, Seungchul Baek, Junyong Park:
High-dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances. 193-205 - Wangshu Tu, Sanjeena Subedi:
A family of mixture models for biclustering. 206-224 - Xiong Lyu, Michael Ludkovski:
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation. 225-246 - Qiang Xia, Heung Wong, Shirun Shen, Kejun He:
Factor analysis for high-dimensional time series: Consistent estimation and efficient computation. 247-263 - Hadrien Lorenzo, Olivier Cloarec, Rodolphe Thiébaut, Jérôme Saracco:
Data-driven sparse partial least squares. 264-282
Volume 15, Number 3, June 2022
- Susan Wei, Marc Niethammer:
The fairness-accuracy Pareto front. 287-302 - Min Zhang, Gal Mishne, Eric C. Chi:
Multi-scale affinities with missing data: Estimation and applications. 303-313 - Xinkai Zhou, Jin J. Zhou, Hua Zhou:
Bag of little bootstraps for massive and distributed longitudinal data. 314-321 - Rongzi Liu, Chenxi Li, Qing Lu:
Neural-network transformation models for counting processes. 322-338 - Hao Cheng:
Efficient importance sampling imputation algorithms for quantile and composite quantile regression. 339-356 - Madeline Quinn Johnson, Danica M. Ommen:
Handwriting identification using random forests and score-based likelihood ratios. 357-375 - Michela Carlotta Massi, Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni:
Feature selection for imbalanced data with deep sparse autoencoders ensemble. 376-395 - Gaetano Zazzaro:
Portability analysis of data mining models for fog events forecasting. 396-408
Volume 15, Number 4, August 2022
- Abhishek Chakraborty, Stephen B. Vardeman:
Some Bayesian biclustering methods: Modeling and inference. 413-432 - Ziqiang Lin, Eugene Laska, Carole Siegel:
A general iterative clustering algorithm. 433-446 - Haitao Liu, Jian Zou, Nalini Ravishanker:
Biclustering high-frequency financial time series based on information theory. 447-462 - Krystyna Kiersztyn:
Intuitively adaptable outlier detector. 463-479 - Matthew Davidow, David S. Matteson:
Factor analysis of mixed data for anomaly detection. 480-493 - Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead:
A linear time method for the detection of collective and point anomalies. 494-508 - Weidong Rao, Xiaofei Liu, Fei Chen:
Local influence analysis for the sliced average third-moment estimation. 509-520 - Fei Sha, Ruizhi Zhang:
Adversarially robust subspace learning in the spiked covariance model. 521-530 - V. Roshan Joseph:
Optimal ratio for data splitting. 531-538
Volume 15, Number 5, October 2022
- Yuxiao Huang, Kara G. Fields, Yan Ma:
A tutorial on generative adversarial networks with application to classification of imbalanced data. 543-552
- Edoardo Belli, Simone Vantini:
Measure inducing classification and regression trees for functional data. 553-569 - Shuying Zhu, Weining Shen, Annie Qu:
Weighted AutoEncoding recommender system. 570-585 - Mohammad Fathi, Nader Markazi Moghaddam, Leila Kheyrati:
Development and validation of models for two-week mortality of inpatients with COVID-19 infection: A large prospective cohort study. 586-597 - Akhil Vakayil, V. Roshan Joseph:
Data Twinning. 598-610 - Jami J. Mulgrave, Subhashis Ghosal:
Regression-based Bayesian estimation and structure learning for nonparanormal graphical models. 611-629 - Woosung Kim, Seonghyeon Kim, Myung Hwan Na, Yongdai Kim:
A modified least angle regression algorithm for interaction selection with heredity. 630-647 - Mengque Liu, Qingzhao Zhang, Shuangge Ma:
A tree-based gene-environment interaction analysis with rare features. 648-674
Volume 15, Number 6, December 2022
- Jianhong Zhou, Alan T. K. Wan, Dalei Yu:
Frequentist model averaging for zero-inflated Poisson regression models. 679-691 - Zhengtian Zhu, Liping Zhu:
Distributed dimension reduction with nearly oracle rate. 692-706 - Shantanu Awasthi, Indranil Sengupta, William Wilson, Prithviraj Lakkakula:
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China. 707-721 - Linxi Li, Qin Wang, Chenlu Ke:
Local support vector machine based dimension reduction. 722-735 - Jean Feng, Noah Simon:
Ensembled sparse-input hierarchical networks for high-dimensional datasets. 736-750 - Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian:
Kernel learning with nonconvex ramp loss. 751-765 - Mai Dao, Min Wang, Souparno Ghosh:
A novel Bayesian method for variable selection and estimation in binary quantile regression. 766-780 - Tianmou Liu, Han Yu, Rachael Hageman Blair:
Out-of-bag stability estimation for k-means clustering. 781-796 - Peide Li, Seyyid Emre Sofuoglu, Selin Aviyente, Tapabrata Maiti:
Coupled support tensor machine classification for multimodal neuroimaging data. 797-818
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