mlsanityData to 14 Oct 2026

A note on the multiplicative gamma process

arXiv 1610.03408 ↗First posted 11 Oct 2016stat.MEcited by 3

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Abstract (arXiv)

Adaptive dimensionality reduction in high-dimensional problems is a key topic in statistics. The multiplicative gamma process takes a relevant step in this direction, but improved studies on its properties are required to ease implementation. This note addresses such aim.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Oct 2016.

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Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.

3 papers.

  1. 2026Overfitted high-dimensional matrix factorizations via adaptive spectral shrinkagecited by 1
  2. 2023Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysiscited by 0
  3. 2023A Bayesian Methodology for Estimation for Sparse Canonical Correlationcited by 0