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ORCIDStatistical Analysis and Data Mining, Volume 14
Volume 14, Number 1, February 2021
- Owen G. Ward
, Zhen Huang, Andrew Davison, Tian Zheng:
Next waves in veridical network embedding. 5-17
- Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do:
Scalable network estimation with L0 penalty. 18-30 - Na Cui, Jianjun Hu, Feng Liang:
Complementary dimension reduction. 31-40 - Amy M. Crawford, Nicholas S. Berry, Alicia L. Carriquiry:
A clustering method for graphical handwriting components and statistical writership analysis. 41-60 - Hao Sha, Mohammad Al Hasan, George O. Mohler:
Learning network event sequences using long short-term memory and second-order statistic loss. 61-73 - Liu Liu, Qing Peng, Xin Lai, Zepei Deng:
An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals. 74-87
- Run Wang, Somak Dutta, Vivekananda Roy:
A note on marginal correlation based screening. 88-92
Volume 14, Number 2, April 2021
- Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
A network model that combines latent factors and sparse graphs. 97-115 - Eghbal G. Mansoori, Massar Sara:
Extreme ensemble of extreme learning machines. 116-128 - Mingmei Tian, Rachael Hageman Blair, Lina Mu, Matthew Bonner, Richard Browne, Han Yu:
A framework for stability-based module detection in correlation graphs. 129-143 - Alejandro Mantero, Hemant Ishwaran:
Unsupervised random forests. 144-167 - Yiying Fan, Jiayang Sun:
Subsampling from features in large regression to find "winning features". 168-184 - Katherine Goode, Heike Hofmann:
Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations. 185-200 - Brian Wu, Dorin Drignei:
Emulated order identification for models of big time series data. 201-212
Volume 14, Number 3, June 2021
- V. Roshan Joseph, Simon Mak:
Supervised compression of big data. 217-229
- Yingying Zhang, Volodymyr Melnykov, Xuwen Zhu:
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. 230-240
- Massimo Pellagatti, Chiara Masci, Francesca Ieva, Anna Maria Paganoni:
Generalized mixed-effects random forest: A flexible approach to predict university student dropout. 241-257 - Abylay Zhumekenov, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov:
Approximation error of Fourier neural networks. 258-270 - Jun Zhang, Zhuoer Xu:
Exponential calibration for correlation coefficient with additive distortion measurement errors. 271-289
- Erratum to "Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data". 290
Volume 14, Number 4, August 2021
Introduction
- Francesca Greselin, Thomas Brendan Murphy, Giovanni Camillo Porzio, Domenico Vistocco:
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis. 295-296
- Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz:
Multi-node Expectation-Maximization algorithm for finite mixture models. 297-304 - Luca Scrucca:
A fast and efficient Modal EM algorithm for Gaussian mixtures. 305-314 - Nikola Stefelová, Javier Palarea-Albaladejo, Karel Hron:
Weighted pivot coordinates for partial least squares-based marker discovery in high-throughput compositional data. 315-330 - Gianpaolo Zammarchi, Luca Frigau, Francesco Mola:
Markov chain to analyze web usability of a university website using eye tracking data. 331-341 - David Zapletal:
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data. 342-351 - Abhishek Chakraborty, Stephen B. Vardeman:
Modeling and inference for mixtures of simple symmetric exponential families of -dimensional distributions for vectors with binary coordinates. 352-365 - Qiong Li, Xiaoying Sun, Nanwei Wang, Xin Gao:
Penalized composite likelihood for colored graphical Gaussian models. 366-378
Volume 14, Number 5, October 2021
- Yang Feng, Min Zhou, Xin Tong:
Imbalanced classification: A paradigm-based review. 383-406 - Özge Sürer, Daniel W. Apley, Edward C. Malthouse:
Coefficient tree regression for generalized linear models. 407-429 - Karl Pazdernik, Ranjan Maitra:
Estimating basis functions in massive fields under the spatial mixed effects model. 430-448 - Beomjin Park, Hosik Choi, Changyi Park:
Negative binomial graphical model with excess zeros. 449-465 - Madan Gopal Kundu, Samiran Ghosh:
Survival trees based on heterogeneity in time-to-event and censoring distributions using parameter instability test. 466-483 - Arkaprava Roy:
Multivariate Gaussian RBF-net for smooth function estimation and variable selection. 484-500 - Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto:
Parallel coordinate order for high-dimensional data. 501-515
Volume 14, Number 6, December 2021
Research Articles
- Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva:
Learning compact physics-aware delayed photocurrent models using dynamic mode decomposition. 521-535 - Emil D. Attanasi, Philip A. Freeman, Timothy C. Coburn:
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity. 536-555 - Lu Lu, Christine M. Anderson-Cook, Miaolu Zhang:
Understanding the merits of winning data competition solutions for varied sets of objectives. 556-574 - Jan Strube, Malachi Schram, Sabiha Rustam, Zachary Kennedy, Tamás Varga:
Identifying build orientation of 3D-printed materials using convolutional neural networks. 575-582 - Jesse Adams, Jessica Pillow, Kevin Joyce, Michael Brennan, Malena I. Español, Matthias Morzfeld, Sean Breckling, Daniel Champion, Eric Clarkson, Ryan N. Coffee, Amanda Gehring, Margaret Lund, Duane Smalley, Ajanae Williams, Jacob Zier, Daniel Frayer, Marylesa Howard, Eric Machorro:
An approach to characterizing spatial aspects of image system blur. 583-595 - Claire-Alice Hébert, Earl Lawrence, Kary L. Myers, James Colgan, Elizabeth J. Judge:
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars. 596-605 - Samuel Myren, Earl Lawrence:
A comparison of Gaussian processes and neural networks for computer model emulation and calibration. 606-623 - Bernard Nguyen, Leanne S. Whitmore, Anthe George, Corey M. Hudson:
Evaluating causal-based feature selection for fuel property prediction models. 624-635 - Amanda Muyskens, Kathleen L. Schmidt, Matthew Nelms, Nathan Barton, Jeffrey Florando, Ana Kupresanin, David Rivera:
A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments. 636-646 - Marieme Ngom, Oana Marin:
Fourier neural networks as function approximators and differential equation solvers. 647-661 - Amanda Lenzi, Julie Bessac, Mihai Anitescu:
Power grid frequency prediction using spatiotemporal modeling. 662-675 - Adam M. Edwards, Robert B. Gramacy:
Precision aggregated local models. 676-697
- (Withdrawn) Retracted: Multi-model penalized regression. 698
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