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Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation
14 references·0 citing·43 second hop
Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation (2013)Exploring the ability of the Pettitt meth…Non‐Parametric Change‐Point Tests for Long‐Range Dependent Data (2012)Non‐Parametric Change‐Point T…Bootstrapping sequential change-point tests for linear regression (2011)Bootstrapping sequential chan…Ratio test for variance change point in linear process with long memory (2009)Ratio test for variance chang…MULTISCALE LOCAL CHANGE POINT DETECTION WITH APPLICATIONS TO VALUE-AT-RISK (2009)MULTISCALE LOCAL CHANGE POINT…Multiscale local change point detection with applications to value-at-risk (2009)Multiscale local change point…Change-in-mean problem for long memory time series models with applications (2008)Change-in-mean problem for lo…Testing for change points in time series models and limiting theorems for NED sequences (2007)Testing for change points in …Testing for change points in time series models and limiting theorems for NED sequences (2007)Testing for change points in …Data driven rank test for the change point problem (2007)Data driven rank test for the…On discriminating between long-range dependence and changes in mean (2006)On discriminating between lon…The change-point problem for dependent observations (1996)The change-point problem for …On the power of nonparametric changepoint-tests (1994)On the power of nonparametric…Detecting a Scale Shift in a Random Sequence at an Unknown Time Point (1981)Detecting a Scale Shift in a …A Non-Parametric Approach to the Change-Point Problem (1979)A Non-Parametric Approach to …Convergence of integrated processes of arbitrary Hermite rank (1979)Limit theorems in change-point analysis (1997)Break detection in the covariance structure of multivariate time series models (2009)Generalized Hermite processes, discrete chaos and limit theorems (2014)Threshold models in time series analysis—Some reflections (2015)Data segmentation algorithms: Univariate mean change and beyond (2021)Weak convergence to fractional brownian motion and to the rosenblatt process (1975)AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)Fractional Differencing (1981)Detection of multiple changes in a sequence of dependent variables (1999)Detection of multiple change-points in multivariate time series (2006)Testing for Change Points in Time Series (2010)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Transform Analysis and Asset Pricing for Affine Jump-diffusions (2000)Analysis of changepoint models (2011)Multiscale Change Point Inference (2014)Uniform change point tests in high dimension (2015)Monitoring Structural Change (1996)Monitoring changes in linear models (2003)Change‐point monitoring in linear models (2006)Structural breaks in time series (2012)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2013)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Modelling Nonlinear Economic Time Series (2010)Optimal Detection of Changepoints With a Linear Computational Cost (2012)CONTINUOUS INSPECTION SCHEMES (1954)Procedures for Reacting to a Change in Distribution (1971)Approximations for the time of change and the power function in change-point models (1996)U-Statistics for Change under Alternatives (2001)Rates of convergence for U-statistic processes and their bootstrapped versions (2002)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Sequential Changepoint Detection in Quality Control and Dynamical Systems (1995)Testing For and Dating Common Breaks in Multivariate Time Series (1998)Structural changes in autoregressive models for binary time series (2013)A MOSUM procedure for the estimation of multiple random change points (2017)Tests for Parameter Instability in Regressions with 1(1) Processes (1992)LOCAL LINEAR FITTING UNDER NEAR EPOCH DEPENDENCE (2006)A Simple Cumulative Sum Type Statistic for the Change-Point Problem with Zero-One Observations (1980)Nonparametric Monitoring of Data Streams for Changes in Location and Scale (2011)Parametric and Nonparametric Sequential Change Detection in R: The cpm Package (2015)
this work references cited by second hop

References

  • 1979A Non-Parametric Approach to the Change-Point Problem4,269 cited
  • 2006On discriminating between long-range dependence and changes in mean160 cited
  • 2009MULTISCALE LOCAL CHANGE POINT DETECTION WITH APPLICATIONS TO VALUE-AT-RISK105 cited
  • 2009Multiscale local change point detection with applications to value-at-risk87 cited
  • 2012Non‐Parametric Change‐Point Tests for Long‐Range Dependent Data82 cited
  • 1996The change-point problem for dependent observations68 cited
  • 2011Bootstrapping sequential change-point tests for linear regression55 cited
  • 2007Testing for change points in time series models and limiting theorems for NED sequences51 cited
  • 2007Testing for change points in time series models and limiting theorems for NED sequences41 cited
  • 1994On the power of nonparametric changepoint-tests39 cited
  • 2009Ratio test for variance change point in linear process with long memory29 cited
  • 2008Change-in-mean problem for long memory time series models with applications24 cited
  • 2007Data driven rank test for the change point problem22 cited
  • 1981Detecting a Scale Shift in a Random Sequence at an Unknown Time Point17 cited

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