Change‐point monitoring in linear models

From MaRDI portal
Publication:3422390

DOI10.1111/j.1368-423X.2006.00190.xzbMath1106.62067OpenAlexW2109148873MaRDI QIDQ3422390

Alexander Aue, Marie Hušková, Lajos Horváth, Piotr S. Kokoszka

Publication date: 13 February 2007

Published in: The Econometrics Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1368-423x.2006.00190.x



Related Items

Change Detection in INARCH Time Series of Counts, On sequential detection of parameter changes in linear regression, Delay times of sequential procedures for multiple time series regression models, Delay time in monitoring jump changes in linear models, SEQUENTIAL TESTING FOR THE STABILITY OF HIGH-FREQUENCY PORTFOLIO BETAS, Monitoring procedure for parameter change in causal time series, On Guaranteed Sequential Change Point Detection for TAR(1)/ARCH(1) Process, Sequential change point detection in high dimensional time series, Asymptotic delay times of sequential tests based on \(U\)-statistics for early and late change points, Monitoring parameter change in linear regression model based on the efficient score vector, Sequential testing with uniformly distributed size, ON-LINE MONITORING OF POLLUTION CONCENTRATIONS WITH AUTOREGRESSIVE MOVING AVERAGE TIME SERIES, Change-point monitoring for online stochastic approximations, Modified procedures for change point monitoring in linear models, Asymptotic distribution of the delay time in Page's sequential procedure, Collective Anomaly Detection in High-Dimensional Var Models, Bootstrapping sequential change-point tests for linear regression, BACKWARD CUSUM FOR TESTING AND MONITORING STRUCTURAL CHANGE WITH AN APPLICATION TO COVID-19 PANDEMIC DATA, Nonparametric partially random sequential test under Phase II sampling: An illustration to monitor water samples for arsenic contamination, Multi‐purpose open‐end monitoring procedures for multivariate observations based on the empirical distribution function, Monitoring the intraday volatility pattern, On the reaction time of moving sum detectors, A Likelihood Ratio Approach to Sequential Change Point Detection for a General Class of Parameters, Change-point analysis in increasing dimension, Local Fourier tests for structural change based on residuals, Monitoring Variance Change in Infinite Order Moving Average Processes and Nonstationary Autoregressive Processes, CUSUM Methods for Monitoring Structural Changes in Structural Equations, Modified sequential change point procedures based on estimating functions, Segmenting mean-nonstationary time series via trending regressions, Some partially sequential nonparametric tests for detecting linear trend, Extreme value distribution of a recursive-type detector in linear model, An online change detection test for parametric discrete-time stochastic processes, Extensions of some classical methods in change point analysis, Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance, Open-end nonparametric sequential change-point detection based on the retrospective CUSUM statistic, Sequential change point test in the presence of outliers: the density power divergence based approach, Monitoring shifts in mean: asymptotic normality of stopping times, Monitoring Structural Changes in Generalized Linear Models, Detection of Changes in INAR Models, Divergent Perpetuities Modulated by Regime Switches, Monitoring procedures for strict stationarity based on the multivariate characteristic function, A new approach for open‐end sequential change point monitoring, Asymptotic Behavior of Delay Times of Bubble Monitoring Tests, Structural breaks in time series, Asymptotic properties of bubble monitoring tests, On the use of estimating functions in monitoring time series for change points, Guaranteed Conditional Performance of Control Charts via Bootstrap Methods, Nonparametric phase-II monitoring for detecting monotone trend based on inverse sampling



Cites Work