Nonparametric estimation of single-index models in scale-space
From MaRDI portal
Publication:3389630
DOI10.1080/00949655.2021.1898610OpenAlexW3136162622MaRDI QIDQ3389630
Derek Dyal, Jib Huh, Cheol-Woo Park
Publication date: 23 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1898610
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric estimation of a log-variance function in scale-space
- Testing single-index restrictions with a focus on average derivatives
- Forward selection and estimation in high dimensional single index models
- SiZer analysis for the comparison of time series
- Statistical inference and visualization in scale-space for spatially dependent images
- On projection pursuit regression
- A visual display device for significant features in complicated signals
- Bayesian multiscale analysis for time series data
- Local likelihood regression in generalized linear single-index models with applications to microarray data
- Multiscale spectral analysis for detecting short and long range change points in time series
- Sizer analysis for the comparison of regression curves
- Likelihood-based local polynomial fitting for single-index models
- Gradient-based bandwidth selection for estimating average derivatives
- Multivariate locally weighted least squares regression
- Scale space view of curve estimation.
- Statistical inference and visualization in scale-space using local likelihood
- Optimal smoothing in single-index models
- Sizer for time series: a new approach to the analysis of trends
- SiZer for smoothing splines
- BOOTSTRAPPING DENSITY-WEIGHTED AVERAGE DERIVATIVES
- An Effective Bandwidth Selector for Local Least Squares Regression
- SiZer Inference for Varying Coefficient Models
- Investigating Smooth Multiple Regression by the Method of Average Derivatives
- Dependent SiZer: Goodness-of-Fit Tests for Time Series Models
- A Scale‐space Approach for Detecting Non‐stationarities in Time Series
- Multivariate local polynomial regression for estimating average derivatives
- SiZer for Exploration of Structures in Curves
- Semiparametric Estimation of Index Coefficients
- Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
- Generalized Jackknife Estimators of Weighted Average Derivatives
- Bayesian analysis of features in a scatter plot with dependent observations and errors in predictors
- Advanced Distribution Theory for SiZer
- Statistical Scale Space Methods
This page was built for publication: Nonparametric estimation of single-index models in scale-space