Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
Fuente:
arXiv
Saved in:
| Main Author: | Mai, The Tien |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Exponential Lasso: robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)
by: Ren, Benny, et al.
Published: (2024)
Logistic regression with missing responses and predictors: a review of existing approaches and a case study
by: Martins, Susana Rafaela, et al.
Published: (2023)
by: Martins, Susana Rafaela, et al.
Published: (2023)
Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
On the universal calibration of heavy-tailed combination tests
by: Chakraborty, Parijat, et al.
Published: (2025)
by: Chakraborty, Parijat, et al.
Published: (2025)
Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screening
by: Mai, The Tien, et al.
Published: (2026)
by: Mai, The Tien, et al.
Published: (2026)
Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)
by: Mi, Junhui, et al.
Published: (2024)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)
by: Chasiotis, Vasilis, et al.
Published: (2023)
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)
by: Kendall, Emmett B., et al.
Published: (2021)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
by: Zou, Guangyong, et al.
Published: (2026)
by: Zou, Guangyong, et al.
Published: (2026)
Hazard-based distributional regression via ordinary differential equations
by: Christen, J. A., et al.
Published: (2025)
by: Christen, J. A., et al.
Published: (2025)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Hybrid methods for missing categorical covariates in Cox model
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Quantile regression for longitudinal functional data with application to feed intake of lactating sows
by: Battagliola, Maria Laura, et al.
Published: (2023)
by: Battagliola, Maria Laura, et al.
Published: (2023)
Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)
by: Xu, Zichun, et al.
Published: (2026)
A marginalized three-part interrupted time series regression model for proportional data
by: Ye, Shangyuan, et al.
Published: (2022)
by: Ye, Shangyuan, et al.
Published: (2022)
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)
Clustering of multivariate tail dependence using conditional methods
by: O'Toole, Patrick, et al.
Published: (2025)
by: O'Toole, Patrick, 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)
Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)
by: Chen, Yuting, et al.
Published: (2025)
Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)
by: Kitano, Takahiro, et al.
Published: (2024)
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)
by: Urbas, Szymon, et al.
Published: (2023)
How to rank imputation methods?
by: Näf, Jeffrey, et al.
Published: (2025)
by: Näf, Jeffrey, et al.
Published: (2025)
Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)
by: Williams, Nicholas, et al.
Published: (2025)
Spatial vertical regression for spatial panel data: Evaluating the effect of the Florentine tramway's first line on commercial vitality
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, et al.
Published: (2025)
A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)
by: Gao, Wenwu, et al.
Published: (2025)
Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)
by: Poynor, Valerie, et al.
Published: (2014)
Efficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazards
by: Magirr, Dominic, et al.
Published: (2024)
by: Magirr, Dominic, et al.
Published: (2024)
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., et al.
Published: (2025)
by: De Sanctis, Marco F., et al.
Published: (2025)
Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
by: Peng, James, et al.
Published: (2025)
by: Peng, James, et al.
Published: (2025)
Similar Items
-
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
by: Mai, The Tien
Published: (2025) -
Exponential Lasso: robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss
by: Mai, The Tien
Published: (2025) -
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025) -
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022) -
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)