Copertina

Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gómez, Román Salmerón, García, Catalina García, Reina, Guillermo Hortal
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology 62J05
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Generalized Ridge Regression: Applications to Nonorthogonal Linear Regression Models
di: Gómez, Román Salmerón, et al.
Pubblicazione: (2025)

Unraveling Residualization: enhancing its application and exposing its relationship with the FWL theorem
di: García, Catalina García, et al.
Pubblicazione: (2024)

Bayesian Analysis on Limiting the Student-$t$ Linear Regression Model
di: Hayashi, Yoshiko
Pubblicazione: (2020)

Estimation of Quantile Functionals in Linear Model
di: Jurečková, Jana, et al.
Pubblicazione: (2024)

Parametric Modal Regression with Error in Covariates
di: Liu, Qingyang, et al.
Pubblicazione: (2022)

Bayesian Global-Local Shrinkage with Univariate Guidance for Ultra-High-Dimensional Regression
di: Das, Priyam
Pubblicazione: (2026)

Estimation of ill-conditioned models using penalized sums of squares of the residuals
di: Gómez, Román Salmerón, et al.
Pubblicazione: (2024)

Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
di: Wang, Kaizheng
Pubblicazione: (2023)

Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models
di: Ali, Alam, et al.
Pubblicazione: (2024)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
di: Cai, Zhanrui, et al.
Pubblicazione: (2023)

KOO Method-based Consistent Clustering for Group-wise Linear Regression with Graph Structure
di: Ohishi, M., et al.
Pubblicazione: (2025)

A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression
di: Liland, Kristian Hovde, et al.
Pubblicazione: (2022)

Exact MLE for Generalized Linear Mixed Models
di: Zhang, Tonglin
Pubblicazione: (2024)

Variable Selection for Additive Global Fréchet Regression
di: Yang, Haoyi, et al.
Pubblicazione: (2025)

Enlarging of the sample to address multicollinearity
di: Gómez, Román Salmerón, et al.
Pubblicazione: (2024)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
di: Du, Shiyin, et al.
Pubblicazione: (2026)

Ridge-Regularized Largest Root Test For High-Dimensional General Linear Hypotheses
di: Li, Haoran
Pubblicazione: (2025)

Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
di: Saraceno, Giovanni, et al.
Pubblicazione: (2020)

Testing-driven Variable Selection in Bayesian Modal Regression
di: Duan, Jiasong, et al.
Pubblicazione: (2025)

Identification-Robust Testing in Endogenous Functional Linear Regression with Weak or Irrelevant Auxiliary Variables
di: Seo, Won-Ki
Pubblicazione: (2026)

Extrapolation before imputation reduces bias when imputing censored covariates
di: Lotspeich, Sarah C., et al.
Pubblicazione: (2022)

Moment-Based Inference for Regression with Latent Dirichlet Covariates
di: Jiang, Ziyu
Pubblicazione: (2026)

Operator on Operator Regression in Quantum Probability
di: Bhar, Suprio, et al.
Pubblicazione: (2024)

Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
di: Knaeble, Brian, et al.
Pubblicazione: (2024)

An Approximation Based Theory of Linear Regression
di: Davies, Laurie
Pubblicazione: (2024)

Aggregated Sure Independence Screening for Variable Selection with Interaction Structures
di: Zhang, Tonglin
Pubblicazione: (2024)

Selection of Ultrahigh-Dimensional Interactions Using $L_0$ Penalty
di: Zhang, Tonglin
Pubblicazione: (2024)

When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
di: Kurbucz, Marcell T.
Pubblicazione: (2026)

A Bayesian Approach to Estimating Effect Sizes in Educational Research
di: Bähni, Yannis
Pubblicazione: (2025)

Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
di: Seifollahi, Solmaz, et al.
Pubblicazione: (2024)

Factor Augmented Quantile Regression Model
di: Wei, Xiaoyang, et al.
Pubblicazione: (2025)

Min-Max transformation for the measurement of sports performance through PIR
di: Salmerón, Román
Pubblicazione: (2024)

Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
di: Barrera, John, et al.
Pubblicazione: (2026)

Bayesian Modal Regression for Forecast Combinations
di: van Eijk, Henry D., et al.
Pubblicazione: (2025)

The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design
di: Tran, Huy, et al.
Pubblicazione: (2022)

Univariate-Guided Sparse Regression
di: Chatterjee, Sourav, et al.
Pubblicazione: (2025)

Graph Based, Adaptive, Multi Arm, Multiple Endpoint, Two Stage Design
di: Mehta, Cyrus, et al.
Pubblicazione: (2025)

The flexible Gumbel distribution: A new model for inference about the mode
di: Liu, Qingyang, et al.
Pubblicazione: (2022)

Estimation of the Risk Measure under a Nuisance Autoregression
di: Jurečková, Jana, et al.
Pubblicazione: (2026)

Multiple Regression Analysis of Unmeasured Confounding
di: Knaeble, Brian, et al.
Pubblicazione: (2025)