THE LIMITS OF ECONOMETRICS: NONPARAMETRIC ESTIMATION IN HILBERT SPACES
From MaRDI portal
Publication:3181963
DOI10.1017/S0266466608090415zbMath1278.62045OpenAlexW3122564569MaRDI QIDQ3181963
Publication date: 30 September 2009
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466608090415
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)
Related Items (4)
The Topology of Change: Foundations of Probability with Black Swans ⋮ The foundations of probability with black swans ⋮ Sustainable markets with short sales ⋮ The foundations of statistics with black swans
Cites Work
- Unnamed Item
- On the bias in flexible functional forms and an essentially unbiased form. The Fourier flexible form
- Nonlinear functional analysis and optimal economic growth
- Convergence rates and asymptotic normality for series estimators
- An axiomatic approach to sustainable development
- Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models
- Optimal Statistical Decisions
- Finitely Additive Measures
This page was built for publication: THE LIMITS OF ECONOMETRICS: NONPARAMETRIC ESTIMATION IN HILBERT SPACES