Parametric modal regression with error in covariates

Cites Work

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Beta Regression for Modelling Rates and Proportions
Bayesian beta regression for bounded responses with unknown supports
Nonparametric modal regression in the presence of measurement error
Beta kernel estimators for density functions
Nonparametric modal regression
Statistical analysis with measurement error or misclassification. Strategy, method and application
Mode regression
SIMEX estimation in parametric modal regression with measurement error
Bayesian modelling of skewness and kurtosis with two-piece scale and shape distributions
Bootstrap hypothesis testing for some common statistical problems: a critical evaluation of size and power properties
Maximum likelihood estimation of isotonic modal regression
Modal regression statistical inference for longitudinal data semivarying coefficient models: generalized estimating equations, empirical likelihood and variable selection
Quadratic mode regression
Nonparametric statistical learning based on modal regression
Finite mixtures of unimodal beta and gamma densities and the \(k\)-bumps algorithm
Quantile regression approach to conditional mode estimation
Corrected-loss estimation for quantile regression with covariate measurement errors
A Moment-Adjusted Imputation Method for Measurement Error Models
Essential Statistical Inference
A New Regression Model: Modal Linear Regression
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Model-based bootstrapping when correcting for measurement error with application to logistic regression
Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
Measurement Error
Estimating a nonlinear function of a normal mean
On Bayesian Modeling of Fat Tails and Skewness
Design Aspects of Calibration Studies in Nutrition, with Analysis of Missing Data in Linear Measurement Error Models
Corrected Score Estimation via Complex Variable Simulation Extrapolation
Parametric mode regression for bounded responses
Linear mode regression with covariate measurement error
Parametric modal regression with varying precision
Quantile Regression With Measurement Error
Measurement Error in Nonlinear Models
Latent-model robustness in structural measurement error models
Maximum Likelihood Estimation of Misspecified Models
Flexible univariate continuous distributions
The Modal Age of Statistics
Dynamic Vector Mode Regression

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