Stat. Anal. Data Min.

Keyphrases

Publications

volume 17, number 1, 2024

Andrew Simpson, Semhar Michael, Dylan Borchert, Christopher Saunders, Larry Tang
Modeling subpopulations for hierarchically structured data. Stat. Anal. Data Min. 17 (1) (2024)
Lucas Koepke, Mary Gregg, Michael Frey
A machine learning oracle for parameter estimation. Stat. Anal. Data Min. 17 (1) (2024)
Maoyu Zhang, Wenlin Dai
On difference-based gradient estimation in nonparametric regression. Stat. Anal. Data Min. 17 (1) (2024)
Eric A. E. Gerber, Bruce A. Craig
Residuals and diagnostics for multinomial regression models. Stat. Anal. Data Min. 17 (1) (2024)
Michael P. B. Gallaugher, Xuwen Zhu
Modeling matrix variate time series via hidden Markov models with skewed emissions. Stat. Anal. Data Min. 17 (1) (2024)
Juhyeon Kim, Soyoung Park, Alicia L. Carriquiry
A deep learning approach for the comparison of handwritten documents using latent feature vectors. Stat. Anal. Data Min. 17 (1) (2024)
Zhan Liu, Xuesong Chen, Ruohan Li, Lanbao Hou
Bayesian inference for nonprobability samples with nonignorable missingness. Stat. Anal. Data Min. 17 (1) (2024)
Laila A. Al-Essa, Shakaiba Shafiq, Deniz Ozonur, Farrukh Jamal
Study of a bounded interval perks distribution with quantile regression analysis. Stat. Anal. Data Min. 17 (1) (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)
Jinwen Liang, Maozai Tian
Imputed quantile vector autoregressive model for multivariate spatial-temporal data. Stat. Anal. Data Min. 17 (1) (2024)
Zahra Nouri, Vahid Kiani, Hamid Fadishei
Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams. Stat. Anal. Data Min. 17 (1) (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)
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)
Florian Combes, Ricardo Fraiman, Badih Ghattas
Subsampling under distributional constraints. Stat. Anal. Data Min. 17 (1) (2024)
Zhuanzhuan Ma, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors. Stat. Anal. Data Min. 17 (1) (2024)
Wenyu Gao, Inyoung Kim, Wonil Nam, Xiang Ren, Wei Zhou, Masoud Agah
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer. Stat. Anal. Data Min. 17 (1) (2024)
Luca Bagnato, Alessio Farcomeni, Antonio Punzo
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. Stat. Anal. Data Min. 17 (1) (2024)
Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi
Boosting diversity in regression ensembles. Stat. Anal. Data Min. 17 (1) (2024)
Xiankui Yang, Lu Lu, Christine M. Anderson-Cook
Input-response space-filling designs incorporating response uncertainty. Stat. Anal. Data Min. 17 (1) (2024)
Maximilian Autenrieth, David A. Van Dyk, Roberto Trotta, David C. Stenning
Stratified learning: A general-purpose statistical method for improved learning under covariate shift. Stat. Anal. Data Min. 17 (1) (2024)
Hana Lee, Alicia L. Carriquiry, Soyoung Park
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics. Stat. Anal. Data Min. 17 (1) (2024)
Ziwen Geng
A novel two-step extrapolation-insertion risk model based on the Expectile under the Pareto-type distribution. Stat. Anal. Data Min. 17 (1) (2024)
Junsub Jung, Sungil Kim, Heeyoung Kim
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. Stat. Anal. Data Min. 17 (1) (2024)

volume 17, number 2, 2024

volume 17, number 3, 2024

Sanyou Wu, Fuying Wang, Long Feng
Individualized image region detection with total variation. Stat. Anal. Data Min. 17 (3) (2024)
Ron S. Kenett, Chris Gotwalt
The analysis of association rules: Latent class analysis. Stat. Anal. Data Min. 17 (3) (2024)

volume 17, number 4, 2024

Xiaoyi Wen
Two-sample testing for random graphs. Stat. Anal. Data Min. 17 (4) (2024)

volume 16, number 5, 2023

Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. 16 (5) (2023)

volume 16, number 6, 2023