| Title:
|
Marginal problem, statistical estimation, and Möbius formula (English) |
| Author:
|
Janžura, Martin |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
43 |
| Issue:
|
5 |
| Year:
|
2007 |
| Pages:
|
619-631 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
A solution to the marginal problem is obtained in a form of parametric exponential (Gibbs–Markov) distribution, where the unknown parameters are obtained by an optimization procedure that agrees with the maximum likelihood (ML) estimate. With respect to a difficult performance of the method we propose also an alternative approach, providing the original basis of marginals can be appropriately extended. Then the (numerically feasible) solution can be obtained either by the maximum pseudo-likelihood (MPL) estimate, or directly by Möbius formula. (English) |
| Keyword:
|
Gibbs distributions |
| Keyword:
|
maximum entropy |
| Keyword:
|
pseudo-likelihood |
| Keyword:
|
Möbius formula |
| MSC:
|
60G60 |
| MSC:
|
62F10 |
| MSC:
|
62G07 |
| MSC:
|
62H12 |
| MSC:
|
93E12 |
| MSC:
|
93E25 |
| idZBL:
|
Zbl 1138.93059 |
| idMR:
|
MR2376327 |
| . |
| Date available:
|
2009-09-24T20:27:40Z |
| Last updated:
|
2012-06-06 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135802 |
| . |
| Reference:
|
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| . |
