Subdata selection for big data regression: an improved approach
Fuente:
arXiv
Saved in:
| Main Authors: | Chasiotis, Vasilis, Karlis, Dimitris |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the estimation of complex statistics combining different surveys
by: Chasiotis, Vasilis, et al.
Published: (2024)
by: Chasiotis, Vasilis, et al.
Published: (2024)
Efficient subsampling for high-dimensional data
by: Chasiotis, Vasilis, et al.
Published: (2024)
by: Chasiotis, Vasilis, et al.
Published: (2024)
Modelling handball outcomes using univariate and bivariate approaches
by: Karlis, Dimitris, et al.
Published: (2024)
by: Karlis, Dimitris, et al.
Published: (2024)
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)
by: Saha, Satabdi, et al.
Published: (2024)
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)
by: Lacroix, Perrine, et al.
Published: (2021)
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)
by: Strömer, Annika, et al.
Published: (2024)
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, et al.
Published: (2024)
by: Chan, Christian, et al.
Published: (2024)
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)
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)
Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., et al.
Published: (2025)
by: Nguyen, Phuc H., 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)
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 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)
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)
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)
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)
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)
A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)
by: Mapelli, Alessia, et al.
Published: (2026)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
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)
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)
Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
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)
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)
Network Meta Analysis of Mean Survival
by: Apsemidis, Anastasios, et al.
Published: (2025)
by: Apsemidis, Anastasios, et al.
Published: (2025)
Calibrating satellite maps with field data for improved predictions of forest biomass
by: May, Paul B., et al.
Published: (2024)
by: May, Paul B., et al.
Published: (2024)
Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)
by: Newman, Ken B., et al.
Published: (2025)
While-alive regression analysis of composite survival endpoints
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
Heterogeneity-aware integrative regression for ancestry-specific association studies
by: Molstad, Aaron J., et al.
Published: (2023)
by: Molstad, Aaron J., et al.
Published: (2023)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Conditional probability tensor decompositions for multivariate categorical response regression
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
This is not normal! (Re-) Evaluating the lower $n$ guidelines for regression analysis
by: Randahl, David
Published: (2024)
by: Randahl, David
Published: (2024)
Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)
by: Ren, Yangfan, et al.
Published: (2024)
Hazard-based distributional regression via ordinary differential equations
by: Christen, J. A., et al.
Published: (2025)
by: Christen, J. A., et al.
Published: (2025)
A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
Similar Items
-
On the estimation of complex statistics combining different surveys
by: Chasiotis, Vasilis, et al.
Published: (2024) -
Efficient subsampling for high-dimensional data
by: Chasiotis, Vasilis, et al.
Published: (2024) -
Modelling handball outcomes using univariate and bivariate approaches
by: Karlis, Dimitris, et al.
Published: (2024) -
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024) -
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)