◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Petra Laketa

7 papers hereh-index 441 citations11 works total

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

author position
  • first author2
  • middle author4
  • last author1

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

fields
  • math.ST3
  • stat.CO2
  • math.MG1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedHalfspace depth for general measures: The ray basis theorem and its consequences

8 citations · 15 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.ME2022★ 4 cited

Another look at halfspace depth: Flag halfspaces with applications

Dušan Pokorný, Petra Laketa, Stanislav Nagy

The halfspace depth is a well studied tool of nonparametric statistics in multivariate spaces, naturally inducing a multivariate generalisation of quantiles. The halfspace depth of…

stat.CO2022

Exact and approximate computation of the scatter halfspace depth

Xiaohui Liu, Yuzi Liu, Petra Laketa +2

The scatter halfspace depth (sHD) is an extension of the location halfspace (also called Tukey) depth that is applicable in the nonparametric analysis of scatter. Using sHD, it is…

math.ST2022

Partial reconstruction of measures from halfspace depth

Petra Laketa, Stanislav Nagy

The halfspace depth of a d-dimensional point x with respect to a finite (or probability) Borel measure μ in Rd is defined as the infimum of the μ-masses of all…

stat.CO2022★ 3 cited

On exact computation of Tukey depth central regions

Vít Fojtík, Petra Laketa, Pavlo Mozharovskyi +1

The Tukey (or halfspace) depth extends nonparametric methods toward multivariate data. The multivariate analogues of the quantiles are the central regions of the Tukey depth, defin…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.