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researcher

P. Kim

8 papers hereh-index 171.2k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • math.AT2
  • math.OA1
  • q-bio.QM1
same name
  • P. Kim — 166 papers
  • P. Kim — 142 papers, h 0
  • P. Kim — 140 papers, h 116
  • P. Kim — 85 papers, h 34
  • P. Kim — 67 papers, h 32
  • P. Kim — 33 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20032017
most citedA statistical approach to persistent homology

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

collaborators
Showing math.STShow all

4 papers · 1 filter

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.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…

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