Cross-validated mixed-datatype bandwidth selection for nonparametric cumulative distribution/survivor functions
From MaRDI portal
Publication:5864657
DOI10.1080/07474938.2017.1307900OpenAlexW2598163062MaRDI QIDQ5864657
Jeffrey S. Racine, Cong Li, Hong Jun Li
Publication date: 8 June 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2017.1307900
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters
- An introduction to copulas.
- Asymptotic properties of the Bernstein density copula estimator for \(\alpha \)-mixing data
- Nonparametric estimation of distributions with categorical and continuous data
- Kernel estimation of multivariate cumulative distribution function
- Nonparametric estimation of multivariate CDF with categorical and continuous data
- Root-n-consistent estimation of partially linear time series models
- Asymptotic Statistics
- Bandwith selection for the smoothing of distribution functions
- Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
- The smooth Colonel meets the Reverend
- Nonparametric estimation of copula functions for dependence modelling
- Bandwidth selection for kernel conditional density estimation.
- A solution to aggregation and an application to multidimensional `well-being' frontiers
This page was built for publication: Cross-validated mixed-datatype bandwidth selection for nonparametric cumulative distribution/survivor functions