Statistical inference on seemingly unrelated single-index regression models
From MaRDI portal
Publication:519231
DOI10.1007/s10255-016-0615-4zbMath1359.62075OpenAlexW2524120236MaRDI QIDQ519231
Bing He, Jin-hong You, Min Chen
Publication date: 4 April 2017
Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10255-016-0615-4
Cites Work
- Unnamed Item
- Unnamed Item
- Efficient estimation of two seemingly unrelated regression equations
- Estimation for a partial-linear single-index model
- On an asymptotically more efficient estimation of the single-index model
- The dimensionality reduction principle for generalized additive models
- Seemingly unrelated nonlinear regressions
- Seemingly unrelated regressions under additive heteroscedasticity. Theory and share equation applications
- On the efficiencies of several generalized least squares estimators in a seemingly unrelated regression model and a heteroscedastic model
- Nonparametric seemingly unrelated regression
- Robust Bayesian inference for seemingly unrelated regressions with elliptical errors
- Two-stage estimation for seemingly unrelated nonparametric regression models
- Local regression for vector responses
- Bayesian Semiparametric Seemingly Unrelated Regression
- Weak and strong uniform consistency of kernel regression estimates
- R2 in Seemingly Unrelated Regression Equations
- Penalized Spline Estimation for Partially Linear Single-Index Models
- Estimators for Seemingly Unrelated Regression Equations: Some Exact Finite Sample Results
- An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
This page was built for publication: Statistical inference on seemingly unrelated single-index regression models