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Statistical optimal transport = École d'Été de Probabilités de Saint-Flour XLIX - 2019 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical optimal transport/ by Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet.
其他題名:	École d'Été de Probabilités de Saint-Flour XLIX - 2019 /
作者:	Chewi, Sinho.
其他作者:	Rigollet, Philippe.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 260 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Probability Theory. -
電子資源:	https://doi.org/10.1007/978-3-031-85160-5
ISBN:	9783031851605

Statistical optimal transport = École d'Été de Probabilités de Saint-Flour XLIX - 2019 /
Chewi, Sinho.

Statistical optimal transportÉcole d'Été de Probabilités de Saint-Flour XLIX - 2019 /[electronic resource] :by Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet. - Cham :Springer Nature Switzerland :2025. - xiv, 260 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics ;v. 2364. - École d'Été de Probabilités de Saint-Flour..

1. Optimal Transport -- 2. Estimation of Wasserstein distances -- 3. Estimation of transport maps -- 4. Entropic optimal transport -- 5. Wasserstein gradient flows: theory -- 6. Wasserstein gradient flows: applications -- 7. Metric geometry of the Wasserstein space -- 8. Wasserstein barycenters.

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researchers in these fields, yet it remains accessible to a broader audience of applied mathematicians and computer scientists. Each chapter is complemented with exercises for the reader to test their understanding. As such, this monograph is suitable for a graduate course on the topic of statistical optimal transport.

ISBN: 9783031851605

Standard No.: 10.1007/978-3-031-85160-5doiSubjects--Topical Terms:

1366244
Probability Theory.

LC Class. No.: QA276.A1

Dewey Class. No.: 519.5

Statistical optimal transport = École d'Été de Probabilités de Saint-Flour XLIX - 2019 /
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