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Segmentation of the Poisson and negative binomial rate models: a
  penalized estimator
v1v2 (latest)

Segmentation of the Poisson and negative binomial rate models: a penalized estimator

11 January 2013
A. Cleynen
Émilie Lebarbier
ArXiv (abs)PDFHTML

Papers citing "Segmentation of the Poisson and negative binomial rate models: a penalized estimator"

13 / 13 papers shown
Random Forests for Change Point Detection
Random Forests for Change Point DetectionJournal of machine learning research (JMLR), 2022
Malte Londschien
Peter Bühlmann
Solt Kovács
380
40
0
10 May 2022
Increased peak detection accuracy in over-dispersed ChIP-seq data with
  supervised segmentation models
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation modelsBMC Bioinformatics (BB), 2020
Arnaud Liehrmann
G. Rigaill
T. Hocking
287
11
0
12 Dec 2020
Consistent model selection procedure for general integer-valued time
  series
Consistent model selection procedure for general integer-valued time seriesStatistics (Berlin) (SB), 2020
Mamadou Lamine Diop
William Kengne
131
6
0
20 Feb 2020
Bayesian Model Selection for Change Point Detection and Clustering
Bayesian Model Selection for Change Point Detection and ClusteringInternational Conference on Machine Learning (ICML), 2018
Othmane Mazhar
C. Rojas
Carlo Fischione
M. Hesamzadeh
299
5
0
03 Dec 2019
Piecewise autoregression for general integer-valued time series
Piecewise autoregression for general integer-valued time seriesJournal of Statistical Planning and Inference (JSPI), 2019
Mamadou Lamine Diop
William Kengne
AI4TS
230
17
0
03 Nov 2019
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
274
15
0
29 Sep 2018
New efficient algorithms for multiple change-point detection with
  kernels
New efficient algorithms for multiple change-point detection with kernels
Alain Celisse
G. Marot
Morgane Pierre-Jean
G. Rigaill
275
14
0
12 Oct 2017
Compound Poisson Point Processes, Concentration and Oracle Inequalities
Compound Poisson Point Processes, Concentration and Oracle Inequalities
Huiming Zhang
Xiaoxuan Wu
223
3
0
13 Sep 2017
A log-linear time algorithm for constrained changepoint detection
A log-linear time algorithm for constrained changepoint detection
T. Hocking
G. Rigaill
Paul Fearnhead
G. Bourque
OOD
275
16
0
09 Mar 2017
Testing for parameter change in general integer-valued time series
Testing for parameter change in general integer-valued time series
Mamadou Lamine Diop
William Kengne
194
27
0
28 Feb 2016
PeakSegJoint: fast supervised peak detection via joint segmentation of
  multiple count data samples
PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples
T. Hocking
G. Bourque
215
0
0
03 Jun 2015
Model selection for the segmentation of multiparameter exponential
  family distributions
Model selection for the segmentation of multiparameter exponential family distributions
A. Cleynen
Émilie Lebarbier
379
9
0
20 Dec 2014
Segmentor3IsBack: an R package for the fast and exact segmentation of
  Seq-data
Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-dataAlgorithms for Molecular Biology (AMB), 2012
A. Cleynen
Michel Koskas
Émilie Lebarbier
G. Rigaill
Stephane S. Robin
560
39
0
25 Apr 2012
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