Algebraic Methods for the Estimation of Statistical Distributions
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https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202107155198
https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202107155198
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Prof. Tim Römer | ger |
| dc.creator | Grosdos Koutsoumpelias, Alexandros | - |
| dc.date.accessioned | 2021-07-15T14:28:30Z | - |
| dc.date.available | 2021-07-15T14:28:30Z | - |
| dc.date.issued | 2021-07-15T14:28:31Z | - |
| dc.identifier.uri | https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202107155198 | - |
| dc.description.abstract | This thesis deals with the problem of estimating statistical distributions from data. In the first part, the method of moments is used in combination with computational algebraic techniques in order to estimate parameters coming from local Dirac mixtures and their convolutions. The second part focuses on the nonparametric setting, in particular on combinatorial and algebraic aspects of the estimation of log-concave distributions. | eng |
| dc.rights | Attribution 3.0 Germany | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/de/ | * |
| dc.subject | algebraic statistics | eng |
| dc.subject | moment methods | eng |
| dc.subject | log-concave distributions | eng |
| dc.subject.ddc | 510 - Mathematik | ger |
| dc.title | Algebraic Methods for the Estimation of Statistical Distributions | eng |
| dc.type | Dissertation oder Habilitation [doctoralThesis] | - |
| thesis.location | Osnabrück | - |
| thesis.institution | Universität | - |
| thesis.type | Dissertation [thesis.doctoral] | - |
| thesis.date | 2020-12-18 | - |
| dc.contributor.referee | Prof. Kaie Kubjas | ger |
| Appears in Collections: | FB06 - E-Dissertationen | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| thesis_grosdos_koutsoumpelias.pdf | Präsentationsformat | 6,45 MB | Adobe PDF | thesis_grosdos_koutsoumpelias.pdf  View/Open |
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