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We tackle the change-point problem with data belonging to a general set.
On grouping for maximum homogeneity
Walter D. Fisher · 1958
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I.F. Pinelis and A.I. Sakhanenko · 1986
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Estimating the number of change-points via Schwarz criterion
Y. Yao · 1988
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Algorithms for the optimal identification of segment neighborhoods
Ivan E Auger and Charles E Lawrence · 1989
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Probability in Banach Spaces , volume 23 of Ergebnisse der Mathematik und ihrer Grenzgebiete (3) [Results in Mathematics and Related Areas (3)]
Michel Ledoux and Michel Talagrand · 1991
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Nonparametric methods in change-point problems , volume 243 of Mathematics and its Applications
Boris E. Brodsky and Boris S. Darkhovsky · 1993
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Fundamentals of statistical signal processing: detection theory
Steven M. Kay · 1993
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Edward Carlstein, Hans-Georg Müller, and David Siegmund, editors · 1994
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New concentration inequalities in product spaces
Michel Talagrand · 1996
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On the estimation of jump points in smooth curves
Irene Gijbels, Peter Hall, and Aloïs Kneip · 1999
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Least-squares estimation of an unknown number of shifts in a time series
Marc Lavielle and Eric Moulines · 2000
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Gaussian model selection
Lucien Birgé and Pascal Massart · 2001
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Temporal video segmentation: A survey
Irena Koprinska and Sergio Carrato · 2001
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Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
B. Schölkopf and A. Smola · 2001
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Detecting multiple breaks in financial market volatility dynamics
Elena Andreou and Eric Ghysels · 2002
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Quelques approches pour la détection de ruptures à horizon fini
Émilie Lebarbier · 2002
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Exponential inequalities, with constants, for U-statistics of order two
Christian Houdré and Patricia Reynaud-Bouret · 2003
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Concentration Inequalities and Model Selection , volume 1896 of Lecture Notes in Mathematics
Pascal Massart · 2003
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A new algorithm for fixed design regression and denoising
Fabienne Comte and Yves Rozenholc · 2004
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Kernel Methods in Computational Biology
B. Schölkopf, K. Tsuda, and J.-Ph. Vert · 2004
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Kernel Methods for Pattern Analysis
John Shawe-Taylor and Nello Cristianini · 2004
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Semigroup kernels on measures
Marco Cuturi, Kenji Fukumizu, and Jean-Philippe Vert · 2005
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Detecting multiple change-points in the mean of a Gaussian process by model selection
Émilie Lebarbier · 2005
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A statistical approach for array CGH data analysis
F. Picard, S. Robin, M. Lavielle, C. Vaisse, and J.-J. Daudin · 2005
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Frames, reproducing kernels, regularization and learning
Alain Rakotomamonjy and Stéphane Canu · 2005
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Video shot boundary detection and condensed representation: a review
Costas Cotsaces, Nikos Nikolaidis, and Ioannis Pitas · 2006
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Nonparametric functional data analysis
Frédéric Ferraty and Philippe Vieu · 2006
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Empirical analysis of an evolving social network
G. Kossinets and D. J. Watts · 2006
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Multiple change-point audio segmentation and classification using an MDL-based Gaussian model
Chung-Hsien Wu and Chia-Hsin Hsieh · 2006
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Learning Theory: An Approximation Theory Viewpoint
Felipe Cucker and Ding Xuan Zhou · 2007
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Retrospective change-point estimation with kernels
Zaïd Harchaoui and Olivier Cappé · 2007
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Introduction to digital signal processing
Lawrence R. Rabiner and Ronald W. Schäfer · 2007
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Modified Bayes Information Crietrion with Application to the Analysis of Comparative Genomic Hybridization Data
N. R. Zhang and D. O. Siegmund · 2007
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Detecting abrupt changes of the long-range dependence or the self-similarity of a gaussian process
Jean-Marc Bardet and Imen Kammoun · 2008
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Kernel measures of conditional dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, and Bernhard Schölkopf · 2008
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Kernels for Structured Data , volume 72 of Series in Machine Perception and Artificial Intelligence
Thomas Gärtner · 2008
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Testing for Homogeneity with Kernel Fisher Discriminant Analysis, April 2008
Zaïd Harchaoui, Francis Bach, and Éric Moulines · 2008
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Support vector machines
Ingo Steinwart and Andreas Christmann · 2008
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Data-driven calibration of penalties for least-squares regression
S. Arlot and P. Massart · 2009
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Gaussian model selection with an unknown variance
Yannick Baraud, Christophe Giraud, and Sylvie Huet · 2009
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Segmentation of the poisson and negative binomial rate models: a penalized estimator
Alice Cleynen and Émilie Lebarbier · 2014
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Non-parametric stochastic approximation with large step sizes, 2014
Aymeric Dieuleveut and Francis Bach · 2014
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Multiscale change point inference
Klaus Frick, Axel Munk, and Hannes Sieling · 2014
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Wild binary segmentation for multiple change-point detection
Piotr Fryzlewicz · 2014
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Multiple-change-point detection for auto-regressive conditional heteroscedastic processes
Piotr Fryzlewicz and Suhasini Subba Rao · 2014
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Detecting changes in the mean of functional observations
I. Berkes, R. Gabrys, L. Horváth, and P. Kokoszka · 2009
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Consistencies and rates of convergence of jump-penalized least squares estimators
L. Boysen, A. Kempe, V. Liebscher, A. Munk, and O. Wittich · 2009
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Detecting Changes in a Dynamic Social Network
Ian McCulloh · 2009
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Histogram selection in non gaussian regression
Marie Sauvé · 2009
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Kernel choice and classifiability for RKHS embeddings of probability distributions
Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, and Bernhard Schölkopf · 2009
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Estimating species trees: practical and theoretical aspects
L. L. Knowles and L.S. Kubatko · 2010
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Vladimir J. Geneus, Jordan Cuevas, Eric Chicken, and J Pignatiello · 2014
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changepoint: An R package for changepoint analysis
Rebecca Killick and Idris Eckley · 2014
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Convolutional kernel networks
Julien Mairal, Piotr Koniusz, Zaid Harchaoui, and Cordelia Schmid · 2014
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A nonparametric approach for multiple change point analysis of multivariate data
David S Matteson and Nicholas A James · 2014
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Category-specific video summarization
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Sequential block bootstrap in a hilbert space with application to change point analysis, 2014
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Sequential Analysis: Hypothesis Testing and Changepoint Detection , volume 136 of Monographs on Statistics and Applied Probability
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Graph-based change-point detection
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ecp: An R package for nonparametric multiple change point analysis of multivariate data
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M-statistic for kernel change-point detection
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Anomaly detection on whole-brain functional imaging of neuronal activity using graph scan statistics
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Change-point detection methods for body-worn video, October 2016
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Long signal change-point detection
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Mathematical Foundations of Infinite-Dimensional Statistical Models
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Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods
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Model selection for the segmentation of multiparameter exponential family distributions
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High-dimensional change-point estimation: Combining filtering with convex optimization
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Minimal penalties for model selection
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New efficient algorithms for multiple change-point detection with reproducing kernels
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