Normally Distributed Probability Measure on the Metric Space of Norms

Hausdorff metric structure of the space

Hausdorff metric structure of the space of probability measures

✍ S. Rachev 📂 Article 📅 1981 🏛 Springer US 🌐 English ⚖ 667 KB

On probability metrics in the space of d

On probability metrics in the space of distributions of random closed sets

✍ I. S. Molchanov 📂 Article 📅 1994 🏛 Springer US 🌐 English ⚖ 425 KB

A note on the -compactness of sets of pr

A note on the -compactness of sets of probability measures on metric spaces

✍ Luque-Vásquez, Fernando; Adolfo Minjárez-Sosa, J. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 353 KB

Entropy characteristics of spaces of pro

Entropy characteristics of spaces of probability measures on a metric compactum

✍ V. V. Volchaninov 📂 Article 📅 1984 🏛 Springer US 🌐 English ⚖ 152 KB

Gradient flows: In metric spaces and in

Gradient flows: In metric spaces and in the space of probability measures

✍ Luigi Ambrosio, Nicola Gigli, Giuseppe Savaré 📂 Library 📅 2008 🏛 Birkhäuser Basel 🌐 English ⚖ 2 MB

This book is devoted to a theory of gradient flows in spaces which are not necessarily endowed with a natural linear or differentiable structure. It consists of two parts, the first one concerning gradient flows in metric spaces and the second one devoted to gradient flows in the space of probabilit

Gradient flows in metric spaces and in t

Gradient flows in metric spaces and in the space of probability measures

✍ Luigi Ambrosio, Nicola Gigli, Giuseppe Savaré 📂 Library 📅 2005 🏛 Birkhäuser Basel 🌐 English ⚖ 2 MB

This book is devoted to a theory of gradient flows in spaces which are not necessarily endowed with a natural linear or differentiable structure. It consists of two parts, the first one concerning gradient flows in metric spaces and the second one devoted to gradient flows in the space of probabilit