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The sufficient dimension reduction of Li has been seen a steady development in the past 30 years in both methodology and application. The main approaches can be categorized into two groups:… Click to show full abstract
The sufficient dimension reduction of Li has been seen a steady development in the past 30 years in both methodology and application. The main approaches can be categorized into two groups: The inverse regression methods and forward regression methods. In this survey, we briefly discuss advances of methods and present problems that needs further investigation in the second group.
Keywords:
methodology;
advance sufficient;
dimension reduction;
sufficient dimension
Journal Title: Wiley Interdisciplinary Reviews: Computational Statistics
Year Published: 2020
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Journal Title: Wiley Interdisciplinary Reviews: Computational Statistics
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!