Estimating a sparse reduction for general regression in high dimensions

Research article (Statistics and Computing, 2016) · cited 19× · AI/ML
Press Enter · cited answer in seconds

Estimating a sparse reduction for general regression in high dimensions

Summary

Estimating a sparse reduction for general regression in high dimensions is a scholarly article[1].

Key Facts

  • Estimating a sparse reduction for general regression in high dimensions's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Estimating a sparse reduction for general regression in high dimensions. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-a-sparse-reduction-for-general-regression-in-high-dimensions
MLA “Estimating a sparse reduction for general regression in high dimensions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-a-sparse-reduction-for-general-regression-in-high-dimensions.
BibTeX @misc{4ortxyz_estimating-a-sparse-reduction-for-general-regression-in-high-dimensions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating a sparse reduction for general regression in high dimensions}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-a-sparse-reduction-for-general-regression-in-high-dimensions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating a sparse reduction for general regression in high dimensions — https://4ort.xyz/entity/estimating-a-sparse-reduction-for-general-regression-in-high-dimensions (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/estimating-a-sparse-reduction-for-general-regression-in-high-dimensions · Last refreshed: