# A note on the multiplicative gamma process

arXiv: https://arxiv.org/abs/1610.03408 · HTML: https://mlsanity.com/paper/1610.03408/

## Key facts

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

## Built on by (most cited first, 3 of 3)

- [Overfitted high-dimensional matrix factorizations via adaptive spectral shrinkage](https://mlsanity.com/paper/2606.19540/) (2026)
- [Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis](https://mlsanity.com/paper/2303.00473/) (2023)
- [A Bayesian Methodology for Estimation for Sparse Canonical Correlation](https://mlsanity.com/paper/2310.19621/) (2023)

## 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.