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Related papers: Tropical Fr\'echet Means: a polyhedral approach to…

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Fr\'echet means are a popular type of average for non-Euclidean datasets, defined as those points which minimise the average squared distance to a set of data points. We consider the behaviour of sample Fr\'echet means on normed spaces…

Probability · Mathematics 2026-03-18 Roan Talbut , Andrew McCormack , Anthea Monod

Recent interest in treespaces as well-founded mathematical domains for phylogenetic inference and statistical analysis for populations of anatomical trees has motivated research into efficient and rigorous methods for optimization problems…

Optimization and Control · Mathematics 2017-08-17 Sean Skwerer , Scott Provan , J. S. Marron

The tropical semiring is an algebraic system with addition ``$\max$'' and multiplication ``$+$''. As well as in conventional algebra, linear programming in the tropical semiring has been developed. In this study, we introduce a new type of…

Optimization and Control · Mathematics 2026-02-03 Yuki Nishida

For most optimisation methods an essential assumption is the vector space structure of the feasible set. This condition is not fulfilled if we consider optimisation problems over the sphere. We present an algorithm for solving a special…

Computation · Statistics 2018-02-27 Gabriele Eichfelder , Thomas Hotz , Johannes Wieditz

We are interested in measures of central tendency for a population on a network, which is modeled by a metric tree. The location parameters that we study are generalized Fr\'echet means obtained by minimizing the objective function $\alpha…

Statistics Theory · Mathematics 2023-10-30 Gabriel Romon , Victor-Emmanuel Brunel

Fr\'echet means, conceptually appealing, generalize the Euclidean expectation to general metric spaces. We explore how well Fr\'echet means can be estimated from independent and identically distributed samples and uncover a fundamental…

Statistics Theory · Mathematics 2024-02-20 Shayan Hundrieser , Benjamin Eltzner , Stephan F. Huckemann

The Fr\'echet mean generalizes the concept of a mean to a metric space setting. In this work we consider equivariant estimation of Fr\'echet means for parametric models on metric spaces that are Riemannian manifolds. The geometry and…

Statistics Theory · Mathematics 2021-04-09 Andrew McCormack , Peter Hoff

We establish finite-sample error bounds in expectation for transformed Fr\'echet means in Hadamard spaces under minimal assumptions. Transformed Fr\'echet means provide a unifying framework encompassing classical and robust notions of…

Statistics Theory · Mathematics 2025-11-11 Christof Schötz

We propose a gradient descent method for solving optimization problems arising in settings of tropical geometry - a variant of algebraic geometry that has attracted growing interest in applications such as computational biology, economics,…

Optimization and Control · Mathematics 2025-11-17 Roan Talbut , Anthea Monod

In a metric space, the Fermat-Weber points of a sample are statistics to measure the central tendency of the sample and it is well-known that the Fermat-Weber point of a sample is not necessarily unique in the metric space. We investigate…

Combinatorics · Mathematics 2019-04-17 Bo Lin , Ruriko Yoshida

This paper investigates the computational geometry relevant to calculations of the Frechet mean and variance for probability distributions on the phylogenetic tree space of Billera, Holmes and Vogtmann, using the theory of probability…

Metric Geometry · Mathematics 2014-02-18 Ezra Miller , Megan Owen , J. Scott Provan

A central part of geometric statistics is to compute the Fr\'echet mean. This is a well-known intrinsic mean on a Riemannian manifold that minimizes the sum of squared Riemannian distances from the mean point to all other data points. The…

Machine Learning · Statistics 2025-11-07 Frederik Möbius Rygaard , Søren Hauberg , Steen Markvorsen

This paper introduces a novel extension of Fr\'{e}chet means, called \textit{generalized Fr\'{e}chet means} as a comprehensive framework for characterizing features in probability distributions in general topological spaces. The generalized…

Statistics Theory · Mathematics 2025-12-09 Jaesung Park , Sungkyu Jung

This is a survey on tropical polytopes from the combinatorial point of view and with a focus on algorithms. Tropical convexity is interesting because it relates a number of combinatorial concepts including ordinary convexity, monomial…

Combinatorics · Mathematics 2008-10-12 Michael Joswig

Finding a common factor of two multivariate polynomials with approximate coefficients is a problem in symbolic-numeric computing. Taking a tropical view on this problem leads to efficient preprocessing techniques, applying polyhedral…

Algebraic Geometry · Mathematics 2008-09-02 Danko Adrovic , Jan Verschelde

We study the geometry of tropical Fermat--Weber points, that is, optimal solutions to a location problem over a projective space using a dissimilarity measure derived from the tropical metric. It is well-known that for a given sample, such…

Combinatorics · Mathematics 2026-05-13 John Sabol , David Barnhill , Ruriko Yoshida , Keiji Miura

The Fr\'echet mean (or barycenter) generalizes the expectation of a random variable to metric spaces by minimizing the expected squared distance to the random variable. Similarly, the median can be generalized by its property of minimizing…

Probability · Mathematics 2025-01-17 Christof Schötz

While there exists a well-developed asymptotic theory of Fr\'echet means of random variables taking values in a general "finite-dimensional" metric space, there are only a few known results in which the random variables can take values in…

Probability · Mathematics 2024-12-30 Adam Quinn Jaffe

In this work, we explore the relation between the tropicalization of a real semi-algebraic set $S = \{ f_1 < 0, \dots , f_k < 0\}$ defined in the positive orthant and the combinatorial properties of the defining polynomials $f_1, \dots,…

Algebraic Geometry · Mathematics 2023-11-08 Máté L. Telek

A pseudo-polynomial time $(1 + \varepsilon)$-approximation algorithm is presented for computing the integral and average Fr\'{e}chet distance between two given polygonal curves $T_1$ and $T_2$. In particular, the running time is…

Computational Geometry · Computer Science 2015-12-11 Anil Maheshwari , Jörg-Rüdiger Sack , Christian Scheffer
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