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http://bura.brunel.ac.uk/handle/2438/17908| Title: | Point separation in logistic regression on Hilbert space-valued variables |
| Authors: | Kazakevičiūtė, A Olivo, M |
| Issue Date: | May-2017 |
| Publisher: | Elsevier |
| Citation: | Statistics and Probability Letters, 2017, 128 pp. 84 - 88 |
| Abstract: | © 2017 Elsevier B.V. We study point separation for the logistic regression model for Hilbert space-valued variables. We prove that the separating hyperplane can be found from a finite set of candidates and give an upper bound for the probability of point separation. |
| URI: | http://bura.brunel.ac.uk/handle/2438/17908 |
| DOI: | http://dx.doi.org/10.1016/j.spl.2017.04.019 |
| ISSN: | 0167-7152 http://dx.doi.org/10.1016/j.spl.2017.04.019 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 371.17 kB | Adobe PDF | View/Open |
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