- Hina Shaheen
, Roderick Melnik, Sundeep Singh, Alzheimer's Disease Neuroimaging Initiative:
Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease. Stat. Anal. Data Min. 17(2) (2024) - Andrew Simpson, Semhar Michael, Dylan Borchert, Christopher Saunders, Larry Tang:
Modeling subpopulations for hierarchically structured data. Stat. Anal. Data Min. 17(1) (2024) - Aleksandar Tomcic, Milos Savic, Milos Radovanovic:
Hub-aware random walk graph embedding methods for classification. Stat. Anal. Data Min. 17(2) (2024) - Seungha Um, Samrachana Adhikari:
Considerations in Bayesian agent-based modeling for the analysis of COVID-19 data. Stat. Anal. Data Min. 17(1) (2024) - Yanran Wei, William Myers, Xinwei Deng:
An Efficient Filtering Approach for Model Estimation in Sparse Regression. Stat. Anal. Data Min. 17(5) (2024) - Xiaoyi Wen:
Two-sample testing for random graphs. Stat. Anal. Data Min. 17(4) (2024) - Scott A. Vander Wiel, Michael J. Grosskopf, Isaac J. Michaud, Denise Neudecker:
Driving mode analysis - How uncertain functional inputs propagate to an output. Stat. Anal. Data Min. 17(1) (2024) - Sanyou Wu, Fuying Wang, Long Feng:
Individualized image region detection with total variation. Stat. Anal. Data Min. 17(3) (2024) - Niu Xiaoyu, Yuzhu Tian, Man-Lai Tang, Maozai Tian:
Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model. Stat. Anal. Data Min. 17(1) (2024) - Mengqi Xie, Tao Hu, Jie Zhou:
Transfer learning under the Cox model with interval-censored data. Stat. Anal. Data Min. 17(2) (2024) - Hao Xue, Sounak Chakraborty, Tanujit Dey:
Bayesian shrinkage models for integration and analysis of multiplatform high-dimensional genomics data. Stat. Anal. Data Min. 17(2) (2024) - Xiankui Yang, Lu Lu, Christine M. Anderson-Cook:
Input-response space-filling designs incorporating response uncertainty. Stat. Anal. Data Min. 17(1) (2024) - Yuzhu Tian, Chun-Ho Wu, Ling-Nan Tai, Zhibao Mian, Maozai Tian:
Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. Stat. Anal. Data Min. 17(2) (2024) - Maoyu Zhang, Wenlin Dai:
On difference-based gradient estimation in nonparametric regression. Stat. Anal. Data Min. 17(1) (2024) - Yuhao Zhang, Lu Tang, Yuxiao Huang, Yan Ma:
Smart data augmentation: One equation is all you need. Stat. Anal. Data Min. 17(2) (2024) - Zhigen Zhao, Tong Wang, Bo Ji:
Randomized multiarm bandits: An improved adaptive data collection method. Stat. Anal. Data Min. 17(2) (2024) - Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie:
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions. Stat. Anal. Data Min. 17(2) (2024) - 2023
- Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead:
Semiparametric detection of changepoints in location, scale, and copula. Stat. Anal. Data Min. 16(5): 456-473 (2023) - Chiara Bocci, Anna Gottard, Thomas Brendan Murphy, Giovanni Camillo Porzio:
CLADAG 2021 special issue: Selected papers on classification and data analysis. Stat. Anal. Data Min. 16(4): 317-318 (2023) - Maurizio Carpita, Silvia Golia:
Categorical classifiers in multiclass classification with imbalanced datasets. Stat. Anal. Data Min. 16(4): 391-405 (2023) - Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long:
Integrative learning of structured high-dimensional data from multiple datasets. Stat. Anal. Data Min. 16(2): 120-134 (2023) - Zhe Cheng, Xiangjian Xu, Zihao Song, Weihua Zhao:
Randomized algorithms for tensor response regression. Stat. Anal. Data Min. 16(2): 149-161 (2023) - Ryan B. Christianson, Ryan M. Pollyea, Robert B. Gramacy:
Traditional kriging versus modern Gaussian processes for large-scale mining data. Stat. Anal. Data Min. 16(5): 488-506 (2023) - Francesca Condino:
Share density-based clustering of income data. Stat. Anal. Data Min. 16(4): 336-347 (2023) - David B. Dahl, Jacob Andros, J. Brandon Carter:
Cluster analysis via random partition distributions. Stat. Anal. Data Min. 16(2): 135-148 (2023) - Dylan C. Friel, Yunzhe Li, Benjamin Ellis, Daniel R. Jeske, Herbert K. H. Lee, Philip H. Kass:
A neutral zone classifier for three classes with an application to text mining. Stat. Anal. Data Min. 16(6): 560-568 (2023) - Yaqian Gao, Yifan Huang, Shengwang Meng:
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data. Stat. Anal. Data Min. 16(2): 97-119 (2023) - Silvia Golia, Paola Zola:
An auxiliary Part-of-Speech tagger for blog and microblog cyber-slang. Stat. Anal. Data Min. 16(1): 65-79 (2023) - Francesca Greselin, Alina Jedrzejczak, Kamila Trzcinska:
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy. Stat. Anal. Data Min. 16(4): 319-335 (2023) - Gabor Hannak, Gábor Horváth, Attila Kádár, Márk Dániel Szalai:
Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data. Stat. Anal. Data Min. 16(3): 215-223 (2023)
