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Optimistic search: Change point estimation for large-scale data via
  adaptive logarithmic queries
v1v2v3 (latest)

Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries

20 October 2020
Solt Kovács
Housen Li
Lorenz Haubner
Axel Munk
Peter Buhlmann
ArXiv (abs)PDFHTML

Papers citing "Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries"

4 / 4 papers shown
Title
Reliever: Relieving the Burden of Costly Model Fits for Changepoint
  Detection
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
Chengde Qian
Guanghui Wang
Changliang Zou
53
1
0
03 Jul 2023
fabisearch: A Package for Change Point Detection in and Visualization of
  the Network Structure of Multivariate High-Dimensional Time Series in R
fabisearch: A Package for Change Point Detection in and Visualization of the Network Structure of Multivariate High-Dimensional Time Series in R
Martin Ondrus
Ivor Cribben
AI4TS
45
2
0
06 Jul 2022
Random Forests for Change Point Detection
Random Forests for Change Point Detection
Malte Londschien
Peter Bühlmann
Solt Kovács
104
28
0
10 May 2022
Factorized Binary Search: change point detection in the network
  structure of multivariate high-dimensional time series
Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
Martin Ondrus
Emily Olds
Ivor Cribben
49
7
0
10 Mar 2021
1