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ORCIDStatistical Analysis and Data Mining, Volume 18
Volume 18, Number 1, February 2025
Research Article
- Likun Zhang
, Wei Ma:
Interaction Tests With Covariate-Adaptive Randomization. - Xinran Cai, Yuzhu Tian, Yue Wang, Maozai Tian:
The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis. - Hoa Cuong Nguyen, Cho Do Xuan, Vu Thanh Long, Nguyen Duy Dat, Tran Quang Anh:
A Novel Approach for APT Detection Based on Ensemble Learning Model. - Hailong Gao, Deliang Bu, Hongping Guo, Xiao Wang:
An Adaptive Microbiome-Based Truncated Test.
Rapid Publication
- Mansoo Cho, Tanujit Dey, Hao Xue, Sounak Chakraborty:
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi-Platform High-Dimensional Genomics Data.
Research Article
- Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore:
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. - Ting Xu, Yuzhu Tian, Chun-Ho Wu, Zhibao Mian:
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization. - Chaolin Yao, Jun Zhang:
Greenwood Statistic Under Distortion Measurement Errors. - Surojit Biswas, Buddhananda Banerjee:
Semi-Parametric Least-Area Linear-Circular Regression Through Möbius Transformation. - Tian Yan, Yinan Li, Fang Liu:
Noise-Augmented ℓ 0 Regularization of Tensor Regression With Tucker Decomposition. - Allison Zastrow, Eric Flynn:
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data. - Raziyeh Mohammadi, Iraj Kazemi:
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution. - Mengkun Chen, Inyoung Kim:
Detection of Unknown Functional Departure in Generalized Functional Regression.
Volume 18, Number 2, 2025
- Li Xi, Xiyuan Zhang, Yuting Wei, Zhanshou Chen:
Model Averaging for Regression Kink Models. - Cynthia Huber, Matthias Schmid, Tim Friede:
Model-Based Recursive Partitioning for Discrete Event Times. - Weikang Duan, Gyuhyeong Goh:
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression. - Ngoc-ty Nguyen, Larry Tang, Lulu Chen, P. Jonathon Phillips:
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment. - Sihan Zhou, Daniel Vasiliu, Shi Qi, Guannan Wang:
Triangulation-Based Spatial Clustering for Adjacent Data With Heterogeneous Density. - Yujie Gai, Kang Meng, Xinyi Xu:
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso. - Yuhe Wang, Yuecai Han:
Score Tests for Overdispersion in Marginalized Zero-Inflated Poisson Regression Based on Marginalized Zero-Inflated Generalized Poisson Model. - Brian Bell, Denise Neudecker, Michael Grosskopf, Jesson Hutchinson:
Identifying Nuclear Data Correlated Through Predicting Bias in Integral Experiments via Applying Principal Component Analysis to Random Forest. - Yanzhao Wang, I. M. L. Nadeesha Jayaweera, Jian Zou:
BOSTON-PUPA: A Bayesian Online Spatio-Temporal Outbreak Detection Framework With Prior Updating and p-Value Adaptation.
Volume 18, Number 3, 2025
- Haoyan Hu, Yumou Qiu:
Rank-Based Inference for Conditional Independence Graph With Missing Values. - Jinwon Heo, Jangsun Baek:
Variational Autoencoder With Gamma Mixture for Clustering High-Dimensional Right-Skewed Data. - Marco Berrettini, Giuliano Galimberti:
Exact Score Vector and Hessian Matrix for Mixtures of Matrix-Variate Normals. - Kyuhwan Kim, Junyong Park:
Variable Selection in Nonparametric Additive Models via Data Splitting.
Volume 18, Number 4, 2025
- Dean Dustin, Souparno Ghosh, Bertrand S. Clarke:
Testing for the Important Components of Predictive Variance. - Ziqiang Deng, Huiqiong Li, Niansheng Tang:
Deep Learning for Variable Selection in Censored Quantile Regression Models. - Yuchen Yao, Zhaotong Lin, Xiaotong Shen, Lin Yee Chen, Wei Pan:
Extracting Genetically-Imputed Causal Features From ECG Data. - Cinzia Di Nuzzo, Matteo Farnè:
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization. - Yongku Kim, Jae-Hwan Jhong, Ja-Yong Koo, Kwan-Young Bak:
Low-Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization. - Joshua D. Berlinski, Ranjan Maitra:
Computational Improvements to the Kernel k$$ k $$-Means Clustering Algorithm. - Il-Suk Kang, Donghwa Kim, Hosik Choi, Young Joo Yoon, Cheolwoo Park:
Deep Symbolic Learning for Histogram-Valued Regression Data. - Kamila Facevicová, Peter Filzmoser, Karel Hron:
Correspondence Analysis From the Viewpoint of Compositional Tables. - Jorge Valero, M. Victoria Ibáñez, Amelia Simó:
Statistical Shape Analysis of Human Bodies.
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