Abstract
In this paper we study how perturbing a matri x changes its nonnegative rank. We prove that the nonnegative rank can only increase in a neighborhood of a matrix with no zero columns. Also, we describe some special families of perturbations. We show how our results relate to statistics in terms of the study of maximum likelihood estimation for mixture models.
| Original language | English |
|---|---|
| Pages (from-to) | 1500-1512 |
| Number of pages | 13 |
| Journal | SIAM Journal on Matrix Analysis and Applications |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
Keywords
- Frobenius norm
- Independence of random variables
- Jacobian matrix
- Mixture models
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