Minimal \(\sigma\)-field for flexible sufficient dimension reduction
From MaRDI portal
Publication:2137787
DOI10.1214/22-EJS1999zbMath1493.62017OpenAlexW4220875082MaRDI QIDQ2137787
Publication date: 11 May 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-16/issue-1/Minimal-%cf%83-field-for-flexible-sufficient-dimension-reduction/10.1214/22-EJS1999.full
conditional entropyreproducing kernel Hilbert spaceunivariate transformationhigh dimensional regression analysissufficient predictor
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A feasible method for optimization with orthogonality constraints
- A practical guide to splines
- Sufficient dimension reduction and graphics in regression
- A general theory for nonlinear sufficient dimension reduction: formulation and estimation
- Kernel dimension reduction in regression
- Kernel additive sliced inverse regression
- 10.1162/15324430260185619
- Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Sliced Inverse Regression for Dimension Reduction
- Efficient estimation of conditional variance functions in stochastic regression
- Asymptotic Statistics
- Flexible dimension reduction in regression
- An Adaptive Estimation of Dimension Reduction Space
- Gradient-Based Kernel Dimension Reduction for Regression
- Comment
This page was built for publication: Minimal \(\sigma\)-field for flexible sufficient dimension reduction