Nonparametric robustness - Open Access .click

The Japanese Economic Review, 2007
Nonparametric likelihood is a natural generalization of parametric likelihood and it offers effective methods for analysing economic models with nonparametric components. This is of great interest, since econometric theory rarely suggests a parametric form of the probability law of data.
Yuichi Kitamura
openaire +2 more sources

Heterogeneous impact of environmental taxes on environmental quality: Tax domain based evidence from the nordic countries by nonparametric quantile approaches.

Journal of Environmental Management, 2022
This study aims to examine the heterogeneous causality and impact of environmental taxes at both aggregated and disaggregated levels on environmental quality.
Özer Depren +3 more
semanticscholar +1 more source

Robust Nonparametric Inference

Annual Review of Statistics and Its Application, 2020
In this article, we provide a personal review of the literature on nonparametric and robust tools in the standard univariate and multivariate location and scatter, as well as linear regression problems, with a special focus on sign and rank methods, their equivariance and invariance properties, and their robustness and efficiency.
Klaus Nordhausen, Hannu Oja
openaire +2 more sources

Robustness of Parametric and Nonparametric Fitting Procedures of Tree-Stem Taper with Alternative Definitions for Validation Data

Journal of Forests, 2020
This study aims to evaluate the robustness of parametric and nonparametric procedures using alternative definitions of validation data for loblolly pine.
Sheng-I Yang, H. Burkhart
semanticscholar +1 more source

robustness
nonparametric estimation
fos: computer and information sciences

nonparametric regression
robust estimation
machine learning

outliers
nonparametric regression and quantile regression
causal inference