Lectures on algebraic statistics
How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about determinantal varieties? Connections of this type are at the heart of the new field of "algebraic s...
Đã lưu trong:
| Những tác giả chính: | , , , , |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Basel :
Birkhäuser Basel
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2009. |
| Loạt: | Oberwolfach Seminars
39 |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Description d'après consultation du 6 février 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Lectures on Algebraic Statistics, Texte imprimé, 9783764398866 • Lectures on algebraic statistics, Mathias Drton, Bernd Sturmfels, Seth Sullivant, Basel, Birkhäuser, 2009, 1 vol. (VIII-171 p.), Oberwolfach seminars, 978-3-7643-8904-8 |
| Tóm tắt: | How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about determinantal varieties? Connections of this type are at the heart of the new field of "algebraic statistics". In this field, mathematicians and statisticians come together to solve statistical inference problems using concepts from algebraic geometry as well as related computational and combinatorial techniques. The goal of these lectures is to introduce newcomers from the different camps to algebraic statistics. The introduction will be centered around the following three observations: many important statistical models correspond to algebraic or semi-algebraic sets of parameters; the geometry of these parameter spaces determines the behaviour of widely used statistical inference procedures; computational algebraic geometry can be used to study parameter spaces and other features of statistical models. |
|---|---|
| Mô tả sách: | Description d'après consultation du 6 février 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| số ISBN: | 9783764389055 |
| số ISSN: | 2296-5041 |
| Truy cập: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |