The following pages link to Local Regression and Likelihood (Q4267797):
Displaying 50 items.
- A generic approach to nonparametric function estimation with mixed data (Q96449) (← links)
- Kernel adjusted nonparametric regression (Q152939) (← links)
- A statistical approach to case based reasoning, with application to breast cancer data (Q158242) (← links)
- Testing for change points in partially linear models (Q277056) (← links)
- Cell-average multiresolution based on local polynomial regression. application to image processing (Q278560) (← links)
- Kernel estimation of hazard functions when observations have dependent and common covariates (Q284290) (← links)
- Global and local distance-based generalized linear models (Q285850) (← links)
- Smooth sparse coding via marginal regression for learning sparse representations (Q309913) (← links)
- Dilemmas of robust analysis of economic data streams (Q341800) (← links)
- Confidence bands for least squares support vector machine classifiers: a regression approach (Q408058) (← links)
- A nonparametric approach to weighted estimating equations for regression analysis with missing covariates (Q429630) (← links)
- Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression (Q439162) (← links)
- Semiparametric estimation of conditional copulas (Q443773) (← links)
- Uniform properties of the local maximum likelihood estimate (Q462085) (← links)
- Prospective mortality tables: taking heterogeneity into account (Q492640) (← links)
- Nonparametric adaptive estimation of conditional probabilities of rare events and extreme quantiles (Q497490) (← links)
- Local Gaussian correlation: a new measure of dependence (Q528115) (← links)
- Local generalized empirical estimation of regression (Q551723) (← links)
- Local linear spatial quantile regression (Q605017) (← links)
- Low-pass filter design using locally weighted polynomial regression and discrete prolate spheroidal sequences (Q607202) (← links)
- The generalized cross entropy method, with applications to probability density estimation (Q631482) (← links)
- On the equivalence of the weighted least squares and the generalised least squares estimators, with applications to kernel smoothing (Q652595) (← links)
- Generalized random forests (Q666599) (← links)
- Non-consistent cell-average multiresolution operators with application to image processing (Q668357) (← links)
- Nonparametric binary regression using a Gaussian process prior (Q713768) (← links)
- Locally weighted regression models for surrogate-assisted design optimization (Q724346) (← links)
- Nonparametric and semiparametric compound estimation in multiple covariates (Q746882) (← links)
- From local kernel to nonlocal multiple-model image denoising (Q847522) (← links)
- Nonparametric models and their estimation (Q862786) (← links)
- A new set of asymmetric filters for tracking the short-term trend in real-time (Q902920) (← links)
- Boosting local quasi-likelihood estimators (Q904088) (← links)
- Weighted linear regression models with fixed weights and spherical disturbances (Q906137) (← links)
- Constrained regression model selection (Q951053) (← links)
- Generalized linear random effects models with varying coefficients (Q951901) (← links)
- Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval (Q962277) (← links)
- Reducing variance in univariate smoothing (Q995415) (← links)
- Real time estimation in local polynomial regression, with application to trend-cycle analysis (Q999677) (← links)
- Exact bootstrap \(k\)-nearest neighbor learners (Q1009331) (← links)
- Knot selection by boosting techniques (Q1020124) (← links)
- A recipe for robust estimation using pseudo data (Q1031778) (← links)
- Local quasi-likelihood with a parametric guide (Q1043727) (← links)
- Local likelihood and local partial likelihood in hazard regression (Q1372852) (← links)
- A general projection framework for constrained smoothing. (Q1431205) (← links)
- A unified treatment of direct and indirect estimation of a probability density and its derivatives (Q1612997) (← links)
- Nonparametric estimation of simplified vine copula models: comparison of methods (Q1616352) (← links)
- Asymptotic theory for varying coefficient regression models with dependent data (Q1656859) (← links)
- Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images (Q1660957) (← links)
- Nonlinear multi-output regression on unknown input manifold (Q1680851) (← links)
- Sparse and low-rank matrix regularization for learning time-varying Markov networks (Q1689602) (← links)
- Calculating quantiles of noisy distribution functions using local linear regressions (Q1695539) (← links)
