東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : 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:	Niles-Weed, Jonathan.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 260 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mathematical statistics - Congresses. -
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. - Lecture notes in mathematics ;v. 2364..

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:

543180
Mathematical statistics
--Congresses.

LC Class. No.: QA276.A1

Dewey Class. No.: 519.5

Statistical optimal transport = École d'Été de Probabilités de Saint-Flour XLIX - 2019 /
LDR:01995nmm a2200349 a 4500 001 2410463
003 DE-He213
005 20250411151622.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031851605 $q (electronic bk.)
020 $a 9783031851599 $q (paper)
024 7 $a 10.1007/978-3-031-85160-5 $2 doi
035 $a 978-3-031-85160-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.A1
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276.A1 $b C529 2025
100 1 $a Chewi, Sinho. $3 3784356
245 1 0 $a Statistical optimal transport $h [electronic resource] : $b École d'Été de Probabilités de Saint-Flour XLIX - 2019 / $c by Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiv, 260 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in mathematics ; $v v. 2364
490 1 $a École d'Été de Probabilités de Saint-Flour
505 0 $a 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.
520 $a 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.
650 0 $a Mathematical statistics $v Congresses. $3 543180
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Calculus of Variations and Optimization. $3 3538813
650 2 4 $a Statistical Physics. $3 892398
650 2 4 $a Probability Theory. $3 3538789
700 1 $a Niles-Weed, Jonathan. $3 3784357
700 1 $a Rigollet, Philippe. $3 3784358
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a Ecole d'été de probabilités de Saint-Flour $n (49th : $d 2019 : $c Saint Flour, France) $3 3784360
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in mathematics ; $v v. 2364. $3 3784359
830 0 $a École d'Été de Probabilités de Saint-Flour. $3 3669292
856 4 0 $u https://doi.org/10.1007/978-3-031-85160-5
950 $a Mathematics and Statistics (SpringerNature-11649)