English
Related papers

Related papers: On barycenters of probability measures

200 papers

In this work we study the concentration properties of log-concave measures that are curved only on a subspace of directions. Proofs uses an adapted version of the stochastic localization process.

Functional Analysis · Mathematics 2025-01-23 Pierre Bizeul

We establish some geometrical properties of the space of idempotent probability measures. In particular, for a compact $X$ it is established that if the space $I_{3}(X)\backslash X$ is hereditary normally, then $X$ is metrizable; some…

General Topology · Mathematics 2018-11-21 Adilbek Zaitov , Kholsaid Kholturaev

We prove the following isoperimetric type inequality: Given a finite absolutely continuous Borel measure on ${\mathbb R}^n$, halfspaces have maximal measure among all subsets with prescribed barycenter. As a consequence, we make progress…

Probability · Mathematics 2025-07-11 Shoni Gilboa , Pazit Haim-Kislev , Boaz Slomka

We study barycenters in the space of probability measures on a Riemannian manifold, equipped with the Wasserstein metric. Under reasonable assumptions, we establish absolute continuity of the barycenter of general measures $\Omega \in…

Analysis of PDEs · Mathematics 2015-10-05 Young-Heon Kim , Brendan Pass

For a Tychonoff space $X$, the constructions $\hat P(X)$ and $P_\tau(X)$ of the spaces of probability Radon measures and probability $\tau$-smooth measures on $X$ are considered. It is proved that these constructions determine functors in…

General Topology · Mathematics 2016-02-22 Taras Banakh

Let $X$ be a locally compact Polish space. A random measure on $X$ is a probability measure on the space of all (nonnegative) Radon measures on $X$. Denote by $\mathbb K(X)$ the cone of all Radon measures $\eta$ on $X$ which are of the form…

Probability · Mathematics 2015-03-17 Yuri Kondratiev , Tobias Kuna , Eugene Lytvynov

We study the problem of model aggregation within the Wasserstein space for probability measures on the real line. Given a fixed finite collection of candidate probability models, we consider the associated class of Wasserstein barycenters…

Convergence of the Bayes posterior measure is considered in canonical statistical settings where observations sit on a geometrical object such as a compact manifold, or more generally on a compact metric space verifying some conditions. A…

Statistics Theory · Mathematics 2012-06-05 Ismael Castillo , Gerard Kerkyacharian , Dominique Picard

A radial probability measure is a probability measure with a density (with respect to the Lebesgue measure) which depends only on the distances to the origin. Consider the Euclidean space enhanced with a radial probability measure. A…

Probability · Mathematics 2017-10-10 Yashar Memarian

Barycentric algebras are an abstraction of the notion of convex sets, defined by a set of equations. We study semitopological and topological barycentric algebras, in the spirit of a previous study by Klaus Keimel on semitopological and…

Functional Analysis · Mathematics 2026-05-22 Jean Goubault-Larrecq

For each $p>n$ we use local oscillations and doubling measures to give intrinsic characterizations of the restriction of the Sobolev space $W_p^1(R^n)$ to an arbitrary closed subset of $R^n$.

Functional Analysis · Mathematics 2008-06-17 Pavel Shvartsman

This note proves a result on the existence of barycenters in a class of uniformly convex geodesic spaces.

Metric Geometry · Mathematics 2016-09-12 Laurentiu Leustean , Adriana Nicolae , Alexandru Zaharescu

Let S be a non-exceptional oriented surface of finite type. We classify all Radon measures on the space of measured geodesic laminations for S which are invariant under the mapping class group.

Dynamical Systems · Mathematics 2015-06-26 Ursula Hamenstaedt

We prove that the packing dimension of any mean porous Radon measure on $\mathbb R^d$ may be estimated from above by a function which depends on mean porosity. The upper bound tends to $d-1$ as mean porosity tends to its maximum value. This…

Classical Analysis and ODEs · Mathematics 2017-02-03 D. Beliaev , E. Järvenpää , M. Järvenpää , A. Käenmäki , T. Rajala , S. Smirnov , V. Suomala

The optimal transportation problem defines a geometry of probability measures which leads to a definition for weighted averages (barycenters) of measures, finding application in the machine learning and computer vision communities as a…

Machine Learning · Statistics 2026-03-31 David Gentile , James M. Murphy

This paper is focused on the statistical analysis of probability measures $\nu_{1},\ldots,\nu_{n}$ on $\mathbb{R}$ that can be viewed as independent realizations of an underlying stochastic process. We consider the situation of practical…

Statistics Theory · Mathematics 2017-03-30 Jérémie Bigot , Raúl Gouet , Thierry Klein , Alfredo López

We analyze some properties of the measures in the dual of the space $BV$, by considering (signed) Radon measures satisfying a perimeter bound condition, which means that the absolute value of the measure of a set is controlled by the…

Analysis of PDEs · Mathematics 2025-01-09 Giovanni E. Comi , Gian Paolo Leonardi

We define a metric in the space of positive finite positive measures that extends the 2-Wasserstein metric, i.e. its restriction to the set of probability measures is the 2-Wasserstein metric. We prove a dual and a dynamic formulation and…

Metric Geometry · Mathematics 2023-03-07 Hugo Leblanc , Thibaut Le Gouic , Jacques Liandrat , Magali Tournus

A measure is 1-rectifiable if there is a countable union of finite length curves whose complement has zero measure. We characterize 1-rectifiable Radon measures $\mu$ in $n$-dimensional Euclidean space for all $n\geq 2$ in terms of…

Metric Geometry · Mathematics 2020-07-21 Matthew Badger , Raanan Schul

We study two topologies $\tau_{KR}$ and $\tau_K$ on the space of measures on a completely regular space generated by Kantorovich--Rubinshtein and Kantorovich seminorms analogous to their classical norms in the case of a metric space. The…

Probability · Mathematics 2022-08-05 Konstantin A. Afonin , Vladimir I. Bogachev