Multiple nonparametric regression and model validation for mixed regressors
Explore this paper's citation graph
- Type
- dissertation
- Published
- 2014-05-14
- Cited by
- 0
- References
- 90
- Access
- Open access
- OpenAlex
- https://openalex.org/W1851379
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:27236793
Keywords
Nonparametric regression, Nonparametric statistics, Covariate, Kernel regression, Statistics
References
- A Distribution-Free Theory of Nonparametric Regression
- Semiparametric Regression for the Applied Econometrician
- Nonparametric Econometrics: Theory and Practice
- Econometric Theory and Methods
- Local polynomial modelling and its applications
- Nonparametric econometrics: a primer (in Russian)
- Partially Linear Models
- Hands-On Intermediate Econometrics Using R
- A forecast comparison of residential housing prices by parametric versus semiparametric conditional mean estimators
- A bounded influence regression estimator based on the statistics of the hat matrix
- On Estimating Regression
- Aid and investment in LDCs: A robust approach
- Cross-Validation and the Estimation of Conditional Probability Densities
- Flexible smoothing with B-splines and penalties
- A consistent model specification test with mixed discrete and continuous data
- Cross-validating fit and predictive accuracy of nonlinear quantile regressions
- Nonparametric model checks for regression
- On the root-N-consistent semiparametric estimation of partially linear models
- Tests of specification for parametric and semiparametric models
- Nonparametric regression with weakly dependent data: the discrete and continuous regressor case
Cited by
No citing papers recorded for this paper.
Related papers
- Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches
- Nonparametric regression methods for longitudinal data analysis
- NONPARAMETRIC MULTIPLE REGRESSION UNDER A FIXED DESIGN
- Nonparametric estimation with mixed data types in survey sampling
- Comparison of Estimating Parameter in Parametric Regression, Nonparametric Regression, and Semiparametric Regression models in Case of Two Explanatory Variables
- Nonparametric and Varying Coefficient Modal Regression