Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
A note on shrinkage sliced inverse regression
Liqiang Ni
, R. Dennis Cook
, Chih Ling Tsai
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
66
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A note on shrinkage sliced inverse regression'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Simulation Study
100%
Residuals
100%
Bayesian Information Criterion
100%
Information Criterion
100%
Regression Estimator
100%
Model Index
100%
Parametric Model
100%
Least Absolute Shrinkage and Selection Operator
100%
Keyphrases
Sliced Inverse Regression
100%
Simulation Study
33%
Prediction Accuracy
33%
Sufficient Dimension Reduction
33%
Bayesian Information Criterion
33%
Parametric Model
33%
Regression Approach
33%
Tuning Parameter
33%
Lasso Shrinkage
33%
Single Index
33%
Information Criteria
33%
Regression Estimator
33%
Single-index Model
33%
Residual Information
33%