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Statistical Analysis and Data Mining, Volume 17
Volume 17, Number 1, February 2024
RESEARCH ARTICLES
- Zhan Liu, Xuesong Chen, Ruohan Li, Lanbao Hou
:
Bayesian inference for nonprobability samples with nonignorable missingness. - Ziwen Geng
A novel two-step extrapolation-insertion risk model based on the Expectile under the Pareto-type distribution. - Michael P. B. Gallaugher
Modeling matrix variate time series via hidden Markov models with skewed emissions. - Zahra Nouri, Vahid Kiani
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams. - Florian Combes
Subsampling under distributional constraints. - Juhyeon Kim
A deep learning approach for the comparison of handwritten documents using latent feature vectors. - Zhuanzhuan Ma
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors. - Hana Lee
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics. - Jinwen Liang, Maozai Tian:
Imputed quantile vector autoregressive model for multivariate spatial-temporal data. - Wenyu Gao
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer. - Laila A. Al-Essa, Shakaiba Shafiq
Study of a bounded interval perks distribution with quantile regression analysis. - Seungha Um
Considerations in Bayesian agent-based modeling for the analysis of COVID-19 data. - Mathias Bourel
Boosting diversity in regression ensembles. - Niu Xiaoyu
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model. - Lucas Koepke
A machine learning oracle for parameter estimation. - Luca Bagnato
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. - Andrew Simpson, Semhar Michael
Modeling subpopulations for hierarchically structured data. - Junsub Jung, Sungil Kim
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. - Xiankui Yang
Input-response space-filling designs incorporating response uncertainty. - Scott A. Vander Wiel
Driving mode analysis - How uncertain functional inputs propagate to an output. - Eric A. E. Gerber
Residuals and diagnostics for multinomial regression models. - Maximilian Autenrieth
Stratified learning: A general-purpose statistical method for improved learning under covariate shift. - Maoyu Zhang, Wenlin Dai
On difference-based gradient estimation in nonparametric regression.
Volume 17, Number 2, April 2024
RESEARCH ARTICLES
- Sean Xinyang Feng
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size. - Arkaprabha Ganguli
Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning. - Yujie Gai, Kang Meng, Xiaodi Wang
Online learning for streaming data classification in nonstationary environments. - Raydonal Ospina, Ranah Duarte Costa, Leandro Chaves Rêgo, Fernando Marmolejo-Ramos
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach. - Xiaojun Zheng, Simon Mak
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. - Kevin R. Quinlan
Non-uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases. - Yuhao Zhang
Smart data augmentation: One equation is all you need. - Marilena Furno
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications. - Runze Li, Jin Mu, Songshan Yang, Cong Ye, Xiang Zhan
Compositional variable selection in quantile regression for microbiome data with false discovery rate control. - Aleksandar Tomcic
Hub-aware random walk graph embedding methods for classification. - Isaac J. Michaud
Expert-in-the-loop design of integral nuclear data experiments. - Hao Xue
Bayesian shrinkage models for integration and analysis of multiplatform high-dimensional genomics data. - Zhigen Zhao
Randomized multiarm bandits: An improved adaptive data collection method. - Eugene Laska
A treeless absolutely random forest with closed-form estimators of expected proximities. - Hina Shaheen
Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease. - Mengqi Xie
Transfer learning under the Cox model with interval-censored data. - Yuzhu Tian
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization.
Volume 17, Number 3, June 2024
RESEARCH ARTICLES
- Sanyou Wu, Fuying Wang, Long Feng:
Individualized image region detection with total variation. - Ron S. Kenett
The analysis of association rules: Latent class analysis. - Yong-shiuan Lee
Cost-sensitive classification with time constraint on incomplete data. - Vanessa López-Marrero
Density estimation via measure transport: Outlook for applications in the biological sciences. - Jun Wang
Semiparametric estimation of average treatment effects in observational studies. - Nomita N. Vazirani
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design. - Jiali Lin, Inyoung Kim:
Gaussian process selections in semiparametric multi-kernel machine regression for multi-pathway analysis. - Seungyeon Oh, Hoyoung Park
Nonparametric mean and variance adaptive classification rule for high-dimensional data with heteroscedastic variances. - Canyi Chen
Robust multitask learning in high dimensions under memory constraint. - Yutong Zhang, Xi Chen
Sequential metamodel-based approaches to level-set estimation under heteroscedasticity. - Elias Polytarchos
Assessment of the real-time pattern recognition capability of machine learning algorithms. - Mohammad Atif
Towards accelerating particle-resolved direct numerical simulation with neural operators. - Ryota Tamanoi
Prior effective sample size for exponential family distributions with multiple parameters.
Volume 17, Number 4, August 2024
RESEARCH ARTICLES
- Xiaoyi Wen
Two-sample testing for random graphs. - Katherine Goode, Daniel Ries
Characterizing climate pathways using feature importance on echo state networks. - Carlos García-Meixide
Neural interval-censored survival regression with feature selection. - Siming Deng, Jun Zhang
A new logarithmic multiplicative distortion for correlation analysis. - Y. Narasimhulu
Revisiting Winnow: A modified online feature selection algorithm for efficient binary classification. - Rémi Servien
A random forest approach for interval selection in functional regression. - Sanjay Chaudhuri, Subhroshekhar Ghosh, Kim Cuc Pham:
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem.
Volume 17, Number 5, October 2024
Research Article
- Max Sampson
Conformal Multi-Target Hyperrectangles. - Christopher Qian
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain. - Zengyou He
Node Centrality Inference via Hypothesis Testing. - Yanran Wei
An Efficient Filtering Approach for Model Estimation in Sparse Regression.
Volume 17, Number 6, December 2024
Rapid Publication
- Charles Truong
Convolutional Sparse Coding for Time Series Via a ℓ 0 Penalty: An Efficient Algorithm With Statistical Guarantees.
Research Article
- Jami J. Mulgrave
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies. - Ahmed R. El-Saeed
On Algorithms and Approximations for Progressively Type-I Censoring Schemes. - Abari Bhattacharya
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction. - Rui Yang, Yunquan Song
Nonparametric Expectile Regression Meets Deep Neural Networks: A Robust Nonlinear Variable Selection method.
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