Variable selection and basis learning for ordinal classification
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Minwoo, Han, Sangil, Ahn, Jeongyoun, Jung, Sungkyu |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
by: Han, Sangil, et al.
Published: (2025)
by: Han, Sangil, et al.
Published: (2025)
Robust and Differentially Private PCA for non-Gaussian data
by: Kim, Minwoo, et al.
Published: (2025)
by: Kim, Minwoo, et al.
Published: (2025)
Optimal differentially private kernel learning with random projection
by: Lee, Bonwoo, et al.
Published: (2025)
by: Lee, Bonwoo, et al.
Published: (2025)
Differentially Private Multivariate Statistics with an Application to Contingency Table Analysis
by: Kim, Minwoo, et al.
Published: (2022)
by: Kim, Minwoo, et al.
Published: (2022)
Optimal Test-Data Piling in HDLSS Classification with Covariance Heterogeneity
by: Kim, Taehyun, et al.
Published: (2022)
by: Kim, Taehyun, et al.
Published: (2022)
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis
by: Han, Sangil, et al.
Published: (2024)
by: Han, Sangil, et al.
Published: (2024)
Robust and Differentially Private Principal Component Analysis
by: Minwoo Kim, et al.
Published: (2025)
by: Minwoo Kim, et al.
Published: (2025)
Huber means on Riemannian manifolds
by: Lee, Jongmin, et al.
Published: (2024)
by: Lee, Jongmin, et al.
Published: (2024)
Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response
by: Espinosa-Brito, Javier, et al.
Published: (2021)
by: Espinosa-Brito, Javier, et al.
Published: (2021)
Multivariate ordinal regression for multiple repeated measurements
by: Vana-Gür, Laura
Published: (2024)
by: Vana-Gür, Laura
Published: (2024)
A joint model of correlated ordinal and continuous variables
by: Vana-Gür, Laura, et al.
Published: (2024)
by: Vana-Gür, Laura, et al.
Published: (2024)
Variable selection via knockoffs for clustered data
by: Bacci, Silvia, et al.
Published: (2026)
by: Bacci, Silvia, et al.
Published: (2026)
Maximin distance designs for mixed continuous, ordinal, and binary variables
by: Lan, Hui, et al.
Published: (2025)
by: Lan, Hui, et al.
Published: (2025)
Modelling multivariate ordinal time series using pairwise likelihood
by: Nalpantidi, Anna, et al.
Published: (2026)
by: Nalpantidi, Anna, et al.
Published: (2026)
Bayesian modeling of spatial ordinal data from health surveys
by: Sánchez, Miguel Ángel Beltrán, et al.
Published: (2024)
by: Sánchez, Miguel Ángel Beltrán, et al.
Published: (2024)
A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
Grade of membership analysis for multi-layer ordinal categorical data
by: Qing, Huan
Published: (2024)
by: Qing, Huan
Published: (2024)
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
by: Cao, Zhiqiang, et al.
Published: (2025)
by: Cao, Zhiqiang, et al.
Published: (2025)
Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)
by: Kaplan, David M., et al.
Published: (2025)
Nonparametric functional data classification and bandwidth selection in the presence of MNAR class variables
by: Mojirsheibani, Majid
Published: (2025)
by: Mojirsheibani, Majid
Published: (2025)
Variable selection in balance regression with applications to microbiome compositional data
by: Ma, Jing, et al.
Published: (2023)
by: Ma, Jing, et al.
Published: (2023)
NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
by: Feest, Joseph, et al.
Published: (2025)
by: Feest, Joseph, et al.
Published: (2025)
Pseudo-R2D2 prior for high-dimensional ordinal regression
by: Yanchenko, Eric
Published: (2025)
by: Yanchenko, Eric
Published: (2025)
A model-free subdata selection method for classification
by: Singh, Rakhi
Published: (2024)
by: Singh, Rakhi
Published: (2024)
Development and performance of npd for the evaluation of models with ordinal data
by: Cerou, Marc, et al.
Published: (2026)
by: Cerou, Marc, et al.
Published: (2026)
Variable selection via knockoffs in missing data settings with categorical predictors
by: Bacci, Silvia, et al.
Published: (2025)
by: Bacci, Silvia, et al.
Published: (2025)
Modeling asymmetry in multi-way contingency tables with ordinal categories via f-divergence
by: Okahara, Hisaya, et al.
Published: (2024)
by: Okahara, Hisaya, et al.
Published: (2024)
Successive classification learning for estimating quantile optimal treatment regimes
by: Xia, Junwen, et al.
Published: (2025)
by: Xia, Junwen, et al.
Published: (2025)
Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
by: Wang, Tianyi, et al.
Published: (2026)
by: Wang, Tianyi, et al.
Published: (2026)
Binomial flows: Denoising and flow matching for discrete ordinal data
by: Shenfeld, Yair, et al.
Published: (2026)
by: Shenfeld, Yair, et al.
Published: (2026)
Monotone data augmentation algorithm for longitudinal continuous, binary and ordinal outcomes: a unifying approach
by: Tang, Yongqiang
Published: (2025)
by: Tang, Yongqiang
Published: (2025)
A generalized ordinal quasi-symmetry model and its separability for analyzing multi-way tables
by: Okahara, Hisaya, et al.
Published: (2024)
by: Okahara, Hisaya, et al.
Published: (2024)
Variable selection in frailty mixture cure models via penalized likelihood estimation
by: Tawiah, Richard, et al.
Published: (2025)
by: Tawiah, Richard, et al.
Published: (2025)
Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Fair Box ordinate transform for forecasts following a multivariate Gaussian law
by: Baran, Sándor, et al.
Published: (2025)
by: Baran, Sándor, et al.
Published: (2025)
Measuring the depth of multidimensional poverty with ordinal data
by: Tavares, Fernando Flores
Published: (2026)
by: Tavares, Fernando Flores
Published: (2026)
Statistical few-shot learning for large-scale classification via parameter pooling
by: Simpson, Andrew, et al.
Published: (2025)
by: Simpson, Andrew, et al.
Published: (2025)
A Bivariate DAR($1$) model for ordinal time series
by: Nalpantidi, Anna, et al.
Published: (2025)
by: Nalpantidi, Anna, et al.
Published: (2025)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
BRBVS: An R Package for Bivariate Variable selection in Copula Survival Model(s) domain
by: Petti, Danilo, et al.
Published: (2025)
by: Petti, Danilo, et al.
Published: (2025)
Similar Items
-
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
by: Han, Sangil, et al.
Published: (2025) -
Robust and Differentially Private PCA for non-Gaussian data
by: Kim, Minwoo, et al.
Published: (2025) -
Optimal differentially private kernel learning with random projection
by: Lee, Bonwoo, et al.
Published: (2025) -
Differentially Private Multivariate Statistics with an Application to Contingency Table Analysis
by: Kim, Minwoo, et al.
Published: (2022) -
Optimal Test-Data Piling in HDLSS Classification with Covariance Heterogeneity
by: Kim, Taehyun, et al.
Published: (2022)