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Consistencies and rates of convergence of jump-penalized least squares
  estimators

Consistencies and rates of convergence of jump-penalized least squares estimators

27 February 2009
L. Boysen
A. Kempe
V. Liebscher
Axel Munk
Olaf Wittich
ArXiv (abs)PDFHTML

Papers citing "Consistencies and rates of convergence of jump-penalized least squares estimators"

41 / 41 papers shown
Title
Change-points analysis for generalized integer-valued autoregressive
  model via minimum description length principle
Change-points analysis for generalized integer-valued autoregressive model via minimum description length principle
Danshu Sheng
Dehui Wang
60
7
0
02 Jul 2023
A Variational View on Statistical Multiscale Estimation
A Variational View on Statistical Multiscale Estimation
Markus Haltmeier
Housen Li
Axel Munk
67
4
0
10 Jun 2021
Sequential (Quickest) Change Detection: Classical Results and New
  Directions
Sequential (Quickest) Change Detection: Classical Results and New Directions
Liyan Xie
Shaofeng Zou
Yao Xie
Venugopal V. Veeravalli
AI4TS
83
100
0
09 Apr 2021
Optimal Change-Point Detection and Localization
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
62
45
0
22 Oct 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse
  Parameters on Graphs
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs
Sheng Xu
Z. Fan
S. Negahban
67
0
0
31 May 2020
Optimal Change-Point Detection with Training Sequences in the Large and
  Moderate Deviations Regimes
Optimal Change-Point Detection with Training Sequences in the Large and Moderate Deviations Regimes
Haiyun He
Q. Zhang
Vincent Y. F. Tan
33
3
0
13 Mar 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
81
79
0
16 Feb 2020
Oracle Efficient Estimation of Structural Breaks in Cointegrating
  Regressions
Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions
Karsten Schweikert
36
6
0
22 Jan 2020
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded
  Variation Functions by Optimal Decision Trees
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
S. Chatterjee
Subhajit Goswami
127
18
0
26 Nov 2019
Hypothesis testing for populations of networks
Hypothesis testing for populations of networks
Li Chen
Jie Zhou
Lizhen Lin
99
20
0
09 Nov 2019
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
59
36
0
28 Oct 2019
Change-point detection in dynamic networks via graphon estimation
Change-point detection in dynamic networks via graphon estimation
Zifeng Zhao
Li Chen
Lizhen Lin
53
35
0
05 Aug 2019
Bump detection in the presence of dependency: Does it ease or does it
  load?
Bump detection in the presence of dependency: Does it ease or does it load?
F. Enikeeva
Axel Munk
Mark Pohlmann
Frank Werner
49
6
0
19 Jun 2019
Change-point Detection by the Quantile LASSO Method
Change-point Detection by the Quantile LASSO Method
Gabriela Ciuperca
M. Maciak
55
7
0
15 Jan 2019
Univariate Mean Change Point Detection: Penalization, CUSUM and
  Optimality
Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality
Daren Wang
Yi Yu
Alessandro Rinaldo
85
88
0
22 Oct 2018
Selective review of offline change point detection methods
Selective review of offline change point detection methods
Charles Truong
L. Oudre
Nicolas Vayatis
104
211
0
02 Jan 2018
Optimal Covariance Change Point Localization in High Dimension
Optimal Covariance Change Point Localization in High Dimension
Daren Wang
Yi Yu
Alessandro Rinaldo
73
58
0
28 Dec 2017
Multiscale Change-point Segmentation: Beyond Step Functions
Multiscale Change-point Segmentation: Beyond Step Functions
Housen Li
Qinghai Guo
Axel Munk
88
21
0
13 Aug 2017
Multi-sequence segmentation via score and higher-criticism tests
H. Chan
Hao Chen
65
14
0
23 Jun 2017
Convergence rates of least squares regression estimators with
  heavy-tailed errors
Convergence rates of least squares regression estimators with heavy-tailed errors
Q. Han
J. Wellner
101
46
0
07 Jun 2017
Approximate $l_0$-penalized estimation of piecewise-constant signals on
  graphs
Approximate l0l_0l0​-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
71
21
0
04 Mar 2017
Consistent change-point detection with kernels
Consistent change-point detection with kernels
Damien Garreau
Sylvain Arlot
97
79
0
14 Dec 2016
Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation
  Error Rates
Approximate Recovery in Changepoint Problems, from ℓ2\ell_2ℓ2​ Estimation Error Rates
Kevin Lin
James Sharpnack
Alessandro Rinaldo
Robert Tibshirani
81
27
0
21 Jun 2016
A computationally efficient nonparametric approach for changepoint
  detection
A computationally efficient nonparametric approach for changepoint detection
Kaylea Haynes
Paul Fearnhead
I. Eckley
140
128
0
03 Feb 2016
Learning the intensity of time events with change-points
Learning the intensity of time events with change-points
Mokhtar Z. Alaya
Stéphane Gaïffas
Agathe Guilloux
101
12
0
02 Jul 2015
Estimating the number of change-points in a two-dimensional segmentation
  model without penalization
Estimating the number of change-points in a two-dimensional segmentation model without penalization
V. Brault
Maud Delattre
Émilie Lebarbier
T. Mary-Huard
Céline Lévy-Leduc
18
2
0
10 Jun 2015
Heterogeneous Change Point Inference
Heterogeneous Change Point Inference
F. Pein
H. Sieling
Axel Munk
81
84
0
19 May 2015
Bump detection in heterogeneous Gaussian regression
Bump detection in heterogeneous Gaussian regression
F. Enikeeva
Axel Munk
Frank Werner
73
24
0
28 Apr 2015
FDR-Control in Multiscale Change-point Segmentation
FDR-Control in Multiscale Change-point Segmentation
Housen Li
Axel Munk
H. Sieling
184
70
0
18 Dec 2014
Wild binary segmentation for multiple change-point detection
Wild binary segmentation for multiple change-point detection
Piotr Fryzlewicz
126
656
0
04 Nov 2014
Mumford-Shah and Potts Regularization for Manifold-Valued Data with
  Applications to DTI and Q-Ball Imaging
Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging
Andreas Weinmann
L. Demaret
M. Storath
50
25
0
07 Oct 2014
Nonparametric maximum likelihood approach to multiple change-point
  problems
Nonparametric maximum likelihood approach to multiple change-point problems
Changliang Zou
G. Yin
Long Feng
Zhaojun Wang
99
147
0
28 May 2014
A robust approach for estimating change-points in the mean of an AR(1)
  process
A robust approach for estimating change-points in the mean of an AR(1) process
S. Chakar
Émilie Lebarbier
Céline Lévy-Leduc
Stephane S. Robin
59
4
0
08 Mar 2014
On the Prediction Performance of the Lasso
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
194
168
0
07 Feb 2014
Large-Margin Metric Learning for Partitioning Problems
Large-Margin Metric Learning for Partitioning Problems
Rémi Lajugie
Sylvain Arlot
Francis R. Bach
93
8
0
06 Mar 2013
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
209
345
0
30 Jan 2013
Complexity $L^0$-penalized M-Estimation: Consistency in More Dimensions
Complexity L0L^0L0-penalized M-Estimation: Consistency in More Dimensions
L. Demaret
F. Friedrich
V. Liebscher
G. Winkler
88
1
0
23 Jan 2013
A Kernel Multiple Change-point Algorithm via Model Selection
A Kernel Multiple Change-point Algorithm via Model Selection
Sylvain Arlot
Alain Celisse
Zaïd Harchaoui
143
44
0
17 Feb 2012
Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental
  Concepts and Algorithmic Framework
Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework
K. Frick
Philipp Marnitz
Axel Munk
180
53
0
23 Jan 2011
Properties and refinements of the fused lasso
Properties and refinements of the fused lasso
Alessandro Rinaldo
157
183
0
02 May 2008
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