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Publication search results
found 636 matches
- 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) - 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) - 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) - Florian Combes, Ricardo Fraiman, Badih Ghattas:
Subsampling under distributional constraints. Stat. Anal. Data Min. 17(1) (2024) - Sean Xinyang Feng, Aya A. Mitani:
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size. Stat. Anal. Data Min. 17(2) (2024) - Marilena Furno, Francesco Caracciolo:
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications. Stat. Anal. Data Min. 17(2) (2024) - Yujie Gai, Kang Meng, Xiaodi Wang:
Online learning for streaming data classification in nonstationary environments. Stat. Anal. Data Min. 17(2) (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) - Arkaprabha Ganguli, Tapabrata Maiti, David Todem:
Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning. Stat. Anal. Data Min. 17(2) (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) - 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) - Eric A. E. Gerber, Bruce A. Craig:
Residuals and diagnostics for multinomial regression models. Stat. Anal. Data Min. 17(1) (2024) - Zengyou He, Jun Lou, Yan Liu, Lianyu Hu, Mudi Jiang:
Node Centrality Inference via Hypothesis Testing. Stat. Anal. Data Min. 17(5) (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) - Ron S. Kenett, Chris Gotwalt:
The analysis of association rules: Latent class analysis. Stat. Anal. Data Min. 17(3) (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) - Lucas Koepke, Mary Gregg, Michael Frey:
A machine learning oracle for parameter estimation. Stat. Anal. Data Min. 17(1) (2024) - Eugene Laska, Ziqiang Lin, Carole Siegel, Charles Marmar:
A treeless absolutely random forest with closed-form estimators of expected proximities. Stat. Anal. Data Min. 17(2) (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) - Runze Li, Jin Mu, Songshan Yang, Cong Ye, Xiang Zhan:
Compositional variable selection in quantile regression for microbiome data with false discovery rate control. Stat. Anal. Data Min. 17(2) (2024) - Jinwen Liang, Maozai Tian:
Imputed quantile vector autoregressive model for multivariate spatial-temporal data. 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) - 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) - Isaac J. Michaud, Michael Grosskopf, Jesson Hutchinson, Scott A. Vander Wiel:
Expert-in-the-loop design of integral nuclear data experiments. Stat. Anal. Data Min. 17(2) (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) - Raydonal Ospina, Ranah Duarte Costa, Leandro Chaves Rêgo, Fernando Marmolejo-Ramos:
Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach. Stat. Anal. Data Min. 17(2) (2024) - Christopher Qian, Tyler Ganter, Joshua Michalenko, Feng Liang, Jason Adams:
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain. Stat. Anal. Data Min. 17(5) (2024) - Kevin R. Quinlan, Jagadeesh Movva, Brad Perfect:
Non-uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases. Stat. Anal. Data Min. 17(2) (2024) - Max Sampson, Kung-Sik Chan:
Conformal Multi-Target Hyperrectangles. Stat. Anal. Data Min. 17(5) (2024)
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