Penalized likelihood regression: General formulation and efficient approximation
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- Type
- article
- Published
- 2002-12-01
- Cited by
- 91
- References
- 17
- OpenAlex
- https://openalex.org/W1981569082
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:119965488
Keywords
Applied mathematics, Mathematics, Regression, Cover (algebra), Simple (philosophy)
References
- Density Ratios, Empirical Likelihood and Cot Death
- Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV
- Asymptotic Analysis of Penalized Likelihood and Related Estimators
- Splines — more than just a smooth interpolator
- Smoothing spline density estimation: theory
- On the Estimation of a Probability Density Function by the Maximum Penalized Likelihood Method
- Optimal Smoothing of Noisy Data Using Spline Functions
- Cross-Validating Non-Gaussian Data
- A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem
- Adaptive Spline Smoothing in Non-Gaussian Regression Models
- Cross-Validating Non-Gaussian Data: Generalized Approximate Cross-Validation Revisited
- Hybrid Adaptive Splines
- Smoothing Spline ANOVA for Multivariate Bernoulli Observations With Application to Ophthalmology Data
- Automatic Smoothing of Regression Functions in Generalized Linear Models
- Modelling and smoothing parameter estimation with multiple quadratic penalties
- A GENERALIZED APPROXIMATE CROSS VALIDATION FOR SMOOTHING SPLINES WITH NON-GAUSSIAN DATA
- Cross-Validating Non-Gaussian Data
- Spline Models for Observational Data
- Adaptive Spline Smoothing in Non-Gaussion Regression Models
- Semi-Parametric Generalized Linear Models.
Cited by
- Bayesian Confidence Intervals in Penalized Likelihood Regression
- Computation and Smoothing Parameter Selection In Penalized Likelihood Regression
- DEVELOPING A FRAMEWORK OF SUCCESS FOR THE FOODSERVICE INDUSTRY IN MALAYSIA
- Strategical Issues in Multiple-Objective Optimal Experimental Design
- Effective Computation for Odds Ratio Estimation in Nonparametric Logistic Regression
- A comparative study of nonparametric estimation in Weibull regression: A penalized likelihood approach
- Penalized Likelihood Regression with Negative Binomial Data with Unknown Shape Parameter
- Managing the dimensions of relationship marketing in the food service industry
- Statistical models, likelihood, penalized likelihood and hierarchical likelihood
- A Comparative Study of Semiparametric Estimation in Partially Linear Single-index Models
- Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
- Mapping spatial aggregation from counts data: a penalized likelihood approach
- A simple approach for varying-coefficient model selection
- Penalized likelihood regression for generalized linear models with non-quadratic penalties
- Semiparametric analysis for case-control studies: a partial smoothing spline approach
- Optimal smoothing in nonparametric mixed-effect models
- Generalized additive models for large data sets
- Variable Selection and Model Building via Likelihood Basis Pursuit
- Managing relationship marketing in the food service industry
- A partial spline approach for semiparametric estimation of varying-coefficient partially linear models
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