Pages that link to "Item:Q4935357"

The following pages link to Nonparametric regression in the presence of measurement error (Q4935357):

Displaying 50 items.

• Behavior of R-estimators under measurement errors (Q265293) (← links)
• An expectation-maximization scheme for measurement error models (Q342750) (← links)
• Multivariate measurement error models using finite mixtures of skew-Student \(t\) distributions (Q392070) (← links)
• Asymptotics of SIMEX-based variance estimation (Q427486) (← links)
• Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors (Q553267) (← links)
• Nonparametric ``regression'' when errors are positioned at end-points (Q605015) (← links)
• Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems (Q710758) (← links)
• Analysis of least squares regression estimates in case of additional errors in the variables (Q710765) (← links)
• Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models (Q738041) (← links)
• Estimating second order characteristics of point processes with known independent noise (Q746278) (← links)
• Jump detection in generalized error-in-variables regression with an application to Australian health tax policies (Q746678) (← links)
• Penalized spline estimation for functional coefficient regression models (Q962336) (← links)
• Logitboost with errors-in-variables (Q1023585) (← links)
• A cross-validation method for data with ties in kernel density estimation (Q1039830) (← links)
• Testing lack-of-fit for a polynomial errors-in-variables model (Q1432848) (← links)
• Modeling body height in prehistory using a spatio-temporal Bayesian errors-in-variables model (Q1622075) (← links)
• Empirical simulation extrapolation for measurement error models with replicate measurements. (Q1871275) (← links)
• Estimation of nonparametric regression models with a mixture of Berkson and classical errors (Q1950766) (← links)
• SIMEX and standard error estimation in semiparametric measurement error models (Q1951980) (← links)
• Robust nonparametric function estimation for errors-in-variables models (Q1987580) (← links)
• A mixed model approach to measurement error in semiparametric regression (Q2058744) (← links)
• Measurement error models: from nonparametric methods to deep neural networks (Q2092892) (← links)
• Nonparametric regression on Lie groups with measurement errors (Q2105204) (← links)
• Extrapolation estimation in parametric regression models with measurement error (Q2143001) (← links)
• Estimation and inference in semi-functional partially linear measurement error models (Q2219871) (← links)
• Uniform confidence bands for nonparametric errors-in-variables regression (Q2280584) (← links)
• SIMEX estimation for single-index model with covariate measurement error (Q2324316) (← links)
• Likelihood inference in generalized linear mixed measurement error models (Q2359511) (← links)
• Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models (Q2399533) (← links)
• Regression on manifolds: estimation of the exterior derivative (Q2429924) (← links)
• Estimating smooth distribution function in the presence of heteroscedastic measurement errors (Q2445572) (← links)
• Rank tests and regression rank score tests in measurement error models (Q2445764) (← links)
• Accelerated convergence for nonparametric regression with coarsened predictors (Q2473078) (← links)
• Nonparametric regression with additional measurement errors in the dependent variable (Q2499087) (← links)
• A flexible model for generalized linear regression with measurement error (Q2502134) (← links)
• Corrected-loss estimation for error-in-variable partially linear model (Q2516920) (← links)
• Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems (Q2628885) (← links)
• Nonparametric kernel methods with errors-in-variables: constructing estimators, computing them, and avoiding common mistakes (Q2802866) (← links)
• t-Type corrected-loss estimation for error-in-variable model (Q2980124) (← links)
• Single-index coefficient models for nonlinear time series (Q3021174) (← links)
• Correction for Covariate Measurement Error in Nonparametric Longitudinal Regression (Q3076054) (← links)
• Semiparametric Regression Modeling with Mixtures of Berkson and Classical Error, with Application to Fallout from the Nevada Test Site (Q3078898) (← links)
• Monte Carlo methods for nonparametric regression with heteroscedastic measurement error (Q3119865) (← links)
• A Nonparametric Regression Approach to Syringe Grading for Quality Improvement (Q3128734) (← links)
• Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem (Q3408532) (← links)
• Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors (Q3465359) (← links)
• A Flexible Approach to Measurement Error Correction in Case–Control Studies (Q3549415) (← links)
• Intensity Estimation for Spatial Point Processes Observed with Noise (Q3608271) (← links)
• Wavelet methods for erratic regression means in the presence of measurement error (Q4558585) (← links)
• NONPARAMETRIC MODELING AND SPATIOTEMPORAL DYNAMICAL SYSTEMS (Q4655672) (← links)