Kernel-Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency

Econometrica - United Kingdom
doi 10.3982/ecta12701
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Econometric Society

Related search

Infill Asymptotics and Bandwidth Selection for Kernel Estimators of Spatial Intensity Functions

Methodology and Computing in Applied Probability
MathematicsStatisticsProbability
2019English

New Bandwidth Selection for Kernel Quantile Estimators

Journal of Probability and Statistics
StatisticsProbability
2012English

Exploring the Use of Variable Bandwidth Kernel Density Estimators

Stata Journal
Mathematics
2003English

Kernel Block Bootstrap

2018English

Difference Based Ridge and Liu Type Estimators in Semiparametric Regression Models

SSRN Electronic Journal
2011English

Kernel Quantile Estimators

Journal of the American Statistical Association
UncertaintyStatisticsProbability
1990English

The Influence Function of Semiparametric Estimators

2015English

Bootstrap Variance Estimators for the Parameters of Small-Sample Sensory-Performance Functions

Biological Cybernetics
BiotechnologyComputer Science
1987English

Stochastic Taylor Expansions and Heat Kernel Asymptotics

ESAIM - Probability and Statistics
StatisticsProbability
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy