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Related papers: Minimax Estimation of the Volume of a Set with Smo…

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Based on observations of points uniformly distributed over a convex set in $\R^d$, a new estimator for the volume of the convex set is proposed. The estimator is minimax optimal and also efficient non-asymptotically: it is nearly unbiased…

Statistics Theory · Mathematics 2016-01-22 Nikolay Baldin , Markus Reiß

This paper develops a unified framework for estimating the volume of a set in $\mathbb{R}^d$ based on observations of points uniformly distributed over the set. The framework applies to all classes of sets satisfying one simple axiom: a…

Statistics Theory · Mathematics 2017-12-22 Nicolai Baldin

Polyhedral-type approximations of convex-like domains in $\mathbb{C}^d$ have been considered recently by the second author. In particular, the decay rate of the error in optimal volume approximation as a function of the number of facets has…

Probability · Mathematics 2022-03-24 Siva Athreya , Purvi Gupta , D. Yogeshwaran

In this note, we estimate the upper bound of volume of closed positively or nonnegatively curved Alexandrov space $X$ with strictly convex boundary. We also discuss the equality case. In particular, the Boundary Conjecture holds when the…

Differential Geometry · Mathematics 2020-10-23 Jian Ge

We present a minimax optimal solution to the problem of estimating a compact, convex set from finitely many noisy measurements of its support function. The solution is based on appropriate regularizations of the least squares estimator.…

Statistics Theory · Mathematics 2012-05-31 Adityanand Guntuboyina

We derive a precise estimate on the volume growth of the level set of a potential function on a complete noncompact Riemannian manifold. As applications, we obtain the volume growth rate of a complete noncompact self-shrinker and a gradient…

Differential Geometry · Mathematics 2012-08-10 Xu Cheng , Detang Zhou

We consider the variational problem of minimizing an anisotropic perimeter functional under a volume constraint in a Euclidean convex domain. We extend to this setting analytical properties of the isoperimetric profile, topological features…

Differential Geometry · Mathematics 2025-04-14 César Rosales

We deal with the problem of estimating the volume of inclusions using a finite number of boundary measurements in electrical impedance tomography. We derive upper and lower bounds on the volume fractions of inclusions, or more generally two…

Materials Science · Physics 2011-05-06 Hyeonbae Kang , Eunjoo Kim , Graeme W. Milton

Let M either be a closed real analytic Riemannian manifold or a closed smooth Riemannian surface. We estimate from below the volume of a nodal domain component in an arbitrary ball provided that this component enters the ball deeply enough.

Spectral Theory · Mathematics 2010-11-02 Dan Mangoubi

In this paper we consider the problem of minimizing area subject to a volume constraint in a given convex set.

Analysis of PDEs · Mathematics 2007-05-23 Edward Stredulinsky , William P. Ziemer

In this note we investigate the behavior of the volume that the convex hull of two congruent and intersecting simplices in Euclidean $n$-space can have. We prove some useful equalities and inequalities on this volume. For the regular…

Metric Geometry · Mathematics 2013-05-14 Ákos G. Horváth

We study the problem of estimating the convex hull of the image $f(X)\subset\mathbb{R}^n$ of a compact set $X\subset\mathbb{R}^m$ with smooth boundary through a smooth function $f:\mathbb{R}^m\to\mathbb{R}^n$. Assuming that $f$ is a…

Optimization and Control · Mathematics 2024-03-11 Thomas Lew , Riccardo Bonalli , Lucas Janson , Marco Pavone

The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the similarity between a segmentation and a predefined ground truth…

Computer Vision and Pattern Recognition · Computer Science 2022-11-09 Jeroen Bertels , David Robben , Dirk Vandermeulen , Paul Suetens

We propose a new topic modeling procedure that takes advantage of the fact that the Latent Dirichlet Allocation (LDA) log likelihood function is asymptotically equivalent to the logarithm of the volume of the topic simplex. This allows…

Machine Learning · Statistics 2019-04-04 Byoungwook Jang , Alfred Hero

Let $C_{\theta}$ be a circular cone in Euclidean space $\mathbb{R}^{3}$,which apex is the origin and apex angle of the cone is $\theta\in \left(\pi/3, \pi\right)$. Let $M_\theta$ be the class of compact convex domains in Euclidean space…

Dynamical Systems · Mathematics 2024-10-29 Yi Yang

The creation and justification of the methods for minimax estimation of parameters of the external boundary value problems for the Helmholtz equation in unbounded domains are considered. When observations are distributed in subdomains, the…

Analysis of PDEs · Mathematics 2009-10-14 Yury Podlipenko , Yury Shestopalov , Vladimir Prishlyak

We study volumes of sections of convex origin-symmetric bodies in $\mathbb{R}% ^{n}$ induced by orthonormal systems on probability spaces. The approach is based on volume estimates of \ John-L\"{o}wner ellipsoids and expectations of norms…

Functional Analysis · Mathematics 2022-12-08 Alexander Kushpel

In this paper we prove the existence of an optimal domain which minimizes the buckling load of a clamped plate among all bounded domains with given measure. Instead of treating this variational problem with a volume constraint, we introduce…

Optimization and Control · Mathematics 2021-10-07 Kathrin Stollenwerk

The goal of this paper is to present a lower bound for the Mahler volume of at least 4-dimensional symmetric convex bodies. We define a computable dimension dependent constant through a 2-dimensional variational (max-min) procedure and…

Metric Geometry · Mathematics 2018-05-08 Yashar Memarian

Motivated by previous efforts toward mathematically analyzing the treatment of monomials in spatial branch-and-bound, we study the convex hull of the graph of a simple monomial on a nonnegative box domain in arbitrary dimension, where at…

Optimization and Control · Mathematics 2026-05-05 Jon Lee , Daphne Skipper , Emily Speakman
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