Locating Changes in Highly Dependent Data with Unknown Number of Change Points
type: Dataset
description: International audience
issued: 2026-05-30T23:29:43.856890
language: en
modified: 2026-05-30T23:29:43.856895
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-aicomputer-science-csartificial-intelligence-csai
keyword: statmlstatistics-statmachine-learning-statml
keyword: statthstatistics-statstatistics-theory-statth
landing page: NIPS 2012

Locating Changes in Highly Dependent Data with Unknown Number of Change Points
type: Distribution
format: HTML
issued: 2026-05-30T23:29:43.882914
modified: 2026-05-30T23:29:43.834923
access URL: https://inria.hal.science/hal-00765436

test_moissonnage_selune
type: Agent