Markov bases in algebraic statistics
Algebraic statistics is a rapidly developing field, where ideas from statistics and algebra meet and stimulate new research directions. One of the origins of algebraic statistics is the work by Diaconis and Sturmfels in 1998 on the use of Gröbner bases for constructing a connected Markov chain for p...
Bewaard in:
| Hoofdauteurs: | , , |
|---|---|
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Editie: | 1st ed. 2012. |
| Reeks: | Springer Series in Statistics
199 |
| Onderwerpen: | |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Markov bases in algebraic statistics, by Satoshi Aoki, Hisayuki Hara, Akimichi Takemura, New York, Springer, 2012, 1 vol. (xi, 298 p.), Springer series in statistics, 978-1-461-43718-5 • Markov Bases in Algebraic Statistics, Texte imprimé, 9781461437208 • Markov Bases in Algebraic Statistics, Texte imprimé, 9781489999092 |