default search action
Statistical Analysis and Data Mining, Volume 14
Volume 14, Number 1, February 2021
- Owen G. Ward
, Zhen Huang
Next waves in veridical network embedding. 5-17
- Junghi Kim
Scalable network estimation with L0 penalty. 18-30 - Na Cui, Jianjun Hu, Feng Liang
Complementary dimension reduction. 31-40 - Amy M. Crawford
A clustering method for graphical handwriting components and statistical writership analysis. 41-60 - Hao Sha
Learning network event sequences using long short-term memory and second-order statistic loss. 61-73 - Liu Liu
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
A network model that combines latent factors and sparse graphs. 97-115 - Eghbal G. Mansoori
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
Unsupervised random forests. 144-167 - Yiying Fan
Subsampling from features in large regression to find "winning features". 168-184 - Katherine Goode
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
Supervised compression of big data. 217-229
- Yingying Zhang
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. 230-240
- Massimo Pellagatti, Chiara Masci
Generalized mixed-effects random forest: A flexible approach to predict university student dropout. 241-257 - Abylay Zhumekenov
Approximation error of Fourier neural networks. 258-270 - Jun Zhang
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
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis. 295-296
- Sharon X. Lee, Geoffrey J. McLachlan
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
Weighted pivot coordinates for partial least squares-based marker discovery in high-throughput compositional data. 315-330 - Gianpaolo Zammarchi
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
Modeling and inference for mixtures of simple symmetric exponential families of -dimensional distributions for vectors with binary coordinates. 352-365 - Qiong Li
Penalized composite likelihood for colored graphical Gaussian models. 366-378
Volume 14, Number 5, October 2021
- Yang Feng
Imbalanced classification: A paradigm-based review. 383-406 - Özge Sürer
Coefficient tree regression for generalized linear models. 407-429 - Karl Pazdernik
Estimating basis functions in massive fields under the spatial mixed effects model. 430-448 - Beomjin Park
Negative binomial graphical model with excess zeros. 449-465 - Madan Gopal Kundu
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
Parallel coordinate order for high-dimensional data. 501-515
Volume 14, Number 6, December 2021
Research Articles
- Joshua Hanson
Learning compact physics-aware delayed photocurrent models using dynamic mode decomposition. 521-535 - Emil D. Attanasi
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity. 536-555 - Lu Lu
Understanding the merits of winning data competition solutions for varied sets of objectives. 556-574 - Jan Strube
Identifying build orientation of 3D-printed materials using convolutional neural networks. 575-582 - Jesse Adams
An approach to characterizing spatial aspects of image system blur. 583-595 - Claire-Alice Hébert
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars. 596-605 - Samuel Myren
A comparison of Gaussian processes and neural networks for computer model emulation and calibration. 606-623 - Bernard Nguyen
Evaluating causal-based feature selection for fuel property prediction models. 624-635 - Amanda Muyskens
A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments. 636-646 - Marieme Ngom
Fourier neural networks as function approximators and differential equation solvers. 647-661 - Amanda Lenzi
Power grid frequency prediction using spatiotemporal modeling. 662-675 - Adam M. Edwards
Precision aggregated local models. 676-697
- (Withdrawn) Retracted: Multi-model penalized regression. 698
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-22 19:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: