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FDR-Control in Multiscale Change-point Segmentation
v1v2v3v4v5 (latest)

FDR-Control in Multiscale Change-point Segmentation

18 December 2014
Housen Li
Axel Munk
H. Sieling
ArXiv (abs)PDFHTML

Papers citing "FDR-Control in Multiscale Change-point Segmentation"

16 / 16 papers shown
Title
A Variational View on Statistical Multiscale Estimation
A Variational View on Statistical Multiscale Estimation
Markus Haltmeier
Housen Li
Axel Munk
64
4
0
10 Jun 2021
Multiple Change Point Detection in Structured VAR Models: the VARDetect
  R Package
Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package
Peiliang Bai
Yue Bai
Abolfazl Safikhani
George Michailidis
69
1
0
23 May 2021
Moving sum data segmentation for stochastics processes based on
  invariance
Moving sum data segmentation for stochastics processes based on invariance
Claudia Kirch
P. Klein
48
8
0
12 Jan 2021
Seeded intervals and noise level estimation in change point detection: A
  discussion of Fryzlewicz (2020)
Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
Solt Kovács
Housen Li
Peter Buhlmann
67
4
0
23 Jun 2020
Seeded Binary Segmentation: A general methodology for fast and optimal
  change point detection
Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
Solt Kovács
Housen Li
Peter Buhlmann
Axel Munk
78
79
0
16 Feb 2020
Consistency of a range of penalised cost approaches for detecting
  multiple changepoints
Consistency of a range of penalised cost approaches for detecting multiple changepoints
Chaowen Zheng
I. Eckley
Paul Fearnhead
67
8
0
05 Nov 2019
Two-stage data segmentation permitting multiscale change points, heavy
  tails and dependence
Two-stage data segmentation permitting multiscale change points, heavy tails and dependence
Haeran Cho
Claudia Kirch
57
36
0
28 Oct 2019
Bivariate change point detection: joint detection of changes in
  expectation and variance
Bivariate change point detection: joint detection of changes in expectation and variance
Michael Messer
18
5
0
02 Apr 2019
Multiscale change point detection for dependent data
Multiscale change point detection for dependent data
Holger Dette
Theresa Eckle
Mathias Vetter
38
42
0
14 Nov 2018
Generalized Functional Pruning Optimal Partitioning (GFPOP) for
  Constrained Changepoint Detection in Genomic Data
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data
T. Hocking
G. Rigaill
Paul Fearnhead
G. Bourque
60
14
0
29 Sep 2018
A linear time method for the detection of point and collective anomalies
A linear time method for the detection of point and collective anomalies
Alexander T. M. Fisch
I. Eckley
Paul Fearnhead
53
29
0
05 Jun 2018
Multidimensional multiscale scanning in Exponential Families: Limit
  theory and statistical consequences
Multidimensional multiscale scanning in Exponential Families: Limit theory and statistical consequences
Claudia Konig
Axel Munk
Frank Werner
47
21
0
22 Feb 2018
Multiscale Change-point Segmentation: Beyond Step Functions
Multiscale Change-point Segmentation: Beyond Step Functions
Housen Li
Qinghai Guo
Axel Munk
76
21
0
13 Aug 2017
The Essential Histogram
The Essential Histogram
Housen Li
Axel Munk
H. Sieling
G. Walther
145
16
0
21 Dec 2016
Multiscale scanning in inverse problems
Multiscale scanning in inverse problems
K. Proksch
Frank Werner
Axel Munk
74
31
0
14 Nov 2016
Multiple Testing of Local Extrema for Detection of Change Points
Multiple Testing of Local Extrema for Detection of Change Points
Dan Cheng
Zhibing He
Armin Schwartzman
153
8
0
24 Apr 2015
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