Pages that link to "Item:Q2640278"
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The following pages link to Asymptotic analysis of penalized likelihood and related estimators (Q2640278):
Displaying 50 items.
- Penalized likelihood regression for generalized linear models with non-quadratic penalties (Q261840) (← links)
- On penalized likelihood estimation for a non-proportional hazards regression model (Q383940) (← links)
- Support vector machines with applications (Q449731) (← links)
- Penalized maximum likelihood estimation and effective dimension (Q520783) (← links)
- A reproducing kernel Hilbert space approach to functional linear regression (Q620554) (← links)
- Regularized learning in Banach spaces as an optimization problem: representer theorems (Q693135) (← links)
- An algebraic characterization of the optimum of regularized kernel methods (Q1009329) (← links)
- Local quasi-likelihood with a parametric guide (Q1043727) (← links)
- On a likelihood-based approach in nonparametric smoothing and cross- validation (Q1344821) (← links)
- Latent class DEDICOM (Q1378867) (← links)
- Penalized likelihood estimation: Convergence under incorrect model (Q1382208) (← links)
- Optimal convergence rates for Good's nonparametric maximum likelihood density estimator (Q1578278) (← links)
- A nonparametric multiple choice method within the random utility framework (Q1586556) (← links)
- A note on margin-based loss functions in classification (Q1770065) (← links)
- Smoothed nonparametric estimation in window censored semi-Markov processes (Q1772670) (← links)
- Tensor product space ANOVA models. (Q1848797) (← links)
- Influence on smoothness in penalized likelihood regression for binary data (Q1861631) (← links)
- M-estimation using penalties or sieves (Q1866217) (← links)
- Nonconcave penalized likelihood with a diverging number of parameters. (Q1879926) (← links)
- Penalized likelihood-type estimators for generalized nonparametric regression (Q1914683) (← links)
- Semi-parametric discrete choice measures of willingness to pay (Q1934911) (← links)
- Convergence rate and Bahadur type representation of general smoothing spline M-estimates (Q1952109) (← links)
- Regularization in a functional reproducing kernel Hilbert space (Q1979423) (← links)
- When is there a representer theorem? Reflexive Banach spaces (Q2045091) (← links)
- Bayesian ODE solvers: the maximum a posteriori estimate (Q2058726) (← links)
- A generative approach to modeling data with quantitative and qualitative responses (Q2140852) (← links)
- Penalized nonparametric likelihood-based inference for current status data model (Q2154944) (← links)
- Asymptotic risk and phase transition of \(l_1\)-penalized robust estimator (Q2215774) (← links)
- Active learning with adaptive regularization (Q2275989) (← links)
- Joint asymptotics for semi-nonparametric regression models with partially linear structure (Q2352744) (← links)
- Asymptotic properties of a double penalized maximum likelihood estimator in logistic regres\-sion (Q2373678) (← links)
- Functional reproducing kernel Hilbert spaces for non-point-evaluation functional data (Q2415404) (← links)
- When is there a representer theorem? Nondifferentiable regularisers and Banach spaces (Q2423813) (← links)
- Penalized empirical likelihood estimation of semiparametric models (Q2426738) (← links)
- Local and global asymptotic inference in smoothing spline models (Q2438763) (← links)
- Generalized semi-inner products with applications to regularized learning (Q2637940) (← links)
- On reproducing kernel Banach spaces: generic definitions and unified framework of constructions (Q2674395) (← links)
- Penalized Whittle likelihood for spatial data (Q2692930) (← links)
- Maximum penalized quasi-likelihood estimation of the diffusion function (Q2866380) (← links)
- Pseudo-Likelihoods for Bayesian Inference (Q2963082) (← links)
- Application of Variational Analysis and Control Theory to Nonparametric Maximum Likelihood Estimation of a Density Function (Q2995270) (← links)
- Maximum smoothed likelihood density estimation (Q3432407) (← links)
- Density estimation via hybrid splines (Q4253287) (← links)
- Nonparametric local polynomial approximation of the time-varying frequency and amplitude (Q4337121) (← links)
- Credibility using a loss function from Spline theory (Q4367770) (← links)
- Two‐Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components (Q4649047) (← links)
- Modeling Daily and Subdaily Cycles in Rat Sleep Data (Q4666676) (← links)
- Estimation of Regression Parameters and the Hazard Function in Transformed Linear Survival Models (Q4667483) (← links)
- Nonparametric Functional Estimation by Asymptotic Regression (Q4707031) (← links)
- (Q5053232) (← links)