Pages that link to "Item:Q4214252"

The following pages link to A Class of Local Likelihood Methods and Near-Parametric Asymptotics (Q4214252):

Displaying 35 items.

• Probit transformation for kernel density estimation on the unit interval (Q96446) (← links)
• Bias and bandwidth for local likelihood density estimation (Q385106) (← links)
• Local Gaussian correlation: a new measure of dependence (Q528115) (← links)
• Entropy and divergence associated with power function and the statistical application (Q653348) (← links)
• Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data (Q726598) (← links)
• Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss (Q947252) (← links)
• Weighted empirical likelihood inference for multiple samples (Q999001) (← links)
• On close relations of local likelihood density estimation (Q1372569) (← links)
• Asymptotic properties of maximum weighted likelihood estimators. (Q1417793) (← links)
• Parametrically guided nonparametric density and hazard estimation with censored data (Q1660219) (← links)
• Locally robust methods and near-parametric asymptotics (Q1661369) (← links)
• On local likelihood density estimation (Q1873602) (← links)
• Semiparametric density estimation by local \(L_ 2\)-fitting. (Q1879933) (← links)
• Local likelihood density estimation on random fields (Q1881235) (← links)
• Regression using localised functional Bregman divergence (Q2074336) (← links)
• Circular local likelihood (Q2273027) (← links)
• Selecting likelihood weights by cross-validation (Q2388343) (← links)
• Local central limit theorems, the high-order correlations of rejective sampling and logistic likelihood asymptotics (Q2388359) (← links)
• Nonlinear regression modeling using regularized local likelihood method (Q2495325) (← links)
• Derivation of mixture distributions and weighted likelihood function as minimizers of KL-divergence subject to constraints (Q2495329) (← links)
• Estimation of Kullback-Leibler divergence by local likelihood (Q2502140) (← links)
• Large bandwidth asymptotics for Nadaraya-Watson auto-regression estimator (Q2510031) (← links)
• On local likelihood density estimation when the bandwidth is large (Q2581650) (← links)
• (Q2974136) (← links)
• Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables (Q3391163) (← links)
• Non-parametric regression for binary dependent variables (Q3422397) (← links)
• Asymptotic Properties of Adaptive Likelihood Weights by Cross-Validation (Q3424157) (← links)
• Boosting Method for Local Learning in Statistical Pattern Recognition (Q3536235) (← links)
• Local likelihood method: a bridge over parametric and nonparametric regression (Q4470139) (← links)
• Relative Efficiencies of Kernel and Local Likelihood Density Estimators (Q4665898) (← links)
• Adaptive variable location kernel density estimators with good performance at boundaries (Q4709837) (← links)
• The weighted likelihood (Q4801837) (← links)
• Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem (Q4975411) (← links)
• Local linear density estimation for filtered survival data, with bias correction (Q5400786) (← links)
• Approximating bayesian inference by weighted likelihood (Q5443821) (← links)