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20032017
most citedA statistical approach to persistent homology

123 citations · 241 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.QM2017★ 1 cited

Topological Data Analysis of Clostridioides difficile Infection and Fecal Microbiota Transplantation

Pavel Petrov, Stephen T Rush, Zhichun Zhai +3

Computational topologists recently developed a method, called persistent homology to analyze data presented in terms of similarity or dissimilarity. Indeed, persistent homology stu…

math.ST2012★ 32 cited

Minimax estimation for mixtures of Wishart distributions

L. R. Haff, P. T. Kim, J. -Y. Koo +1

The space of positive definite symmetric matrices has been studied extensively as a means of understanding dependence in multivariate data along with the accompanying problems in s…

math.ST2010★ 35 cited

Möbius deconvolution on the hyperbolic plane with application to impedance density estimation

Stephan F. Huckemann, Peter T. Kim, Ja-Yong Koo +1

In this paper we consider a novel statistical inverse problem on the Poincaré, or Lobachevsky, upper (complex) half plane. Here the Riemannian structure is hyperbolic and a transit…

math.ST2009★ 29 cited

Statistical topology via Morse theory, persistence and nonparametric estimation

Peter Bubenik, Gunnar Carlsson, Peter T. Kim +1

In this paper we examine the use of topological methods for multivariate statistics. Using persistent homology from computational algebraic topology, a random sample is used to con…

math.AT2006★ 123 cited

A statistical approach to persistent homology

Peter Bubenik, Peter T. Kim

Assume that a finite set of points is randomly sampled from a subspace of a metric space. Recent advances in computational topology have provided several approaches to recovering t…

math.ST2006★ 8 cited

Multivariate Bayesian function estimation

Jean-François Angers, Peter T. Kim

Bayesian methods are developed for the multivariate nonparametric regression problem where the domain is taken to be a compact Riemannian manifold. In terms of the latter, the unde…