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Extensions of some classical methods in change point analysis
16 references·16 citing·39 second hopsampled
Extensions of some classical methods in change point analysis (2014)Extensions of some classical methods in c…Structural breaks in time series (2012)Structural breaks in time ser…GARCH Models (2010)GARCH ModelsGLS-BASED UNIT ROOT TESTS WITH MULTIPLE STRUCTURAL BREAKS UNDER BOTH THE NULL AND THE ALTERNATIVE HYPOTHESES (2009)GLS-BASED UNIT ROOT TESTS WIT…Common breaks in means and variances for panel data (2009)Common breaks in means and va…Break detection in the covariance structure of multivariate time series models (2009)Break detection in the covari…Panel data analysis—advantages and challenges (2007)Panel data analysis—advantage…Testing for unit roots in heterogeneous panels (2003)Testing for unit roots in het…Detecting multiple breaks in financial market volatility dynamics (2002)Detecting multiple breaks in …Testing for structural change in conditional models (2000)Testing for structural change…Limit theorems in change-point analysis (1997)Limit theorems in change-poin…Monitoring Structural Change (1996)Monitoring Structural ChangeUse of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance (1994)Use of Cumulative Sums of Squ…Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Tests for Parameter Instabili…Introduction to Stochastic Integration (1983)Introduction to Stochastic In…A Test for a Change in a Parameter Occurring at an Unknown Point (1955)A Test for a Change in a Para…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESData segmentation for time series based on a general moving sum approach (2024)Data segmentation for time se…High-Dimensional, Multiscale Online Changepoint Detection (2022)High-Dimensional, Multiscale …Sequential change point tests based on U‐statistics (2021)Sequential change point tests…High dimensional change point inference: Recent developments and extensions (2021)High dimensional change point…Data segmentation algorithms: Univariate mean change and beyond (2021)Data segmentation algorithms:…Change point analysis of covariance functions: A weighted cumulative sum approach (2021)Change point analysis of cova…Robust Change Point Test for General Integer-Valued Time Series Models Based on Density Power Divergence (2020)Robust Change Point Test for …High-Dimensional, Multiscale Online Changepoint Detection (2020)High-Dimensional, Multiscale …Change-point methods for multivariate time-series: paired vectorial observations (2020)Change-point methods for mult…Sequential monitoring for changes from stationarity to mild non-stationarity (2019)Sequential monitoring for cha…Structural breaks in panel data: Large number of panels and short length time series (2018)Structural breaks in panel da…Change‐Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models (2018)Change‐Point Detection in the…Optimal change point detection in Gaussian processes (2017)Optimal change point detectio…High Dimensional Change Point Estimation via Sparse Projection (2017)High Dimensional Change Point…High-dimensional change point estimation via sparse projection (2016)High-dimensional change point…Detecting at‐Most‐m Changes in Linear Regression Models (2016)Detecting at‐Most‐m Changes i…Economic Control of Quality of Manufactured Product. (1932)Quality Control and Industrial Statistics. (1967)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Book Review: Time Series Analysis: Forecasting and Control (1977)A Guide to Simulation (1983)A guide to simulation (2nd ed.) (1986)Volatility in Emerging Stock Markets (1999)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets (2016)A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems (1993)Output Fluctuations in the United States: What Has Changed Since the Early 1980's? (2000)Sample Splitting and Threshold Estimation (2000)What is an Oil Shock? (2000)Has the Business Cycle Changed and Why? (2002)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test (1999)Unit root tests in panel data: asymptotic and finite-sample properties (2002)A simple panel unit root test in the presence of cross‐section dependence (2007)Testing for the Constancy of Parameters Over Time (1989)Recursive and Sequential Tests of the Unit Root and Trend Break Hypothesis: Theory and International Evidence (1990)Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (1992)Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (2002)Testing for a Unit Root in Time Series Regression (1988)The impact of energy consumption and economic development on Ecological Footprint and CO2 emissions: Evidence from a Markov Switching Equilibrium Correction Model (2017)The impact of financial development and economic growth on renewable energy consumption: Empirical analysis of India (2019)Role of green technology innovation and renewable energy in carbon neutrality: A sustainable investigation from Turkey (2021)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Econometric Analysis of Cross Section and Panel Data (2001)The effects of board characteristics and sustainable compensation policy on carbon performance of UK firms (2017)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)COVID-19 and vaccine hesitancy: A longitudinal study (2020)Dealing with Structural Breaks (2005)Selective review of offline change point detection methods (2019)Optimal consumption and portfolio policies when asset prices follow a diffusion process (1989)Option Prices, Implied Price Processes, and Stochastic Volatility (2000)Nonlinear Expectations and Stochastic Calculus under Uncertainty (2019)Inference About the Change-Point in a Sequence of Random Variables (1970)
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References

  • 2003Testing for unit roots in heterogeneous panels15,744 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,779 cited
  • 1993Tests for Parameter Instability and Structural Change With Unknown Change Point4,325 cited
  • 2007Panel data analysis—advantages and challenges1,256 cited
  • 1994Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance1,237 cited
  • 1997Limit theorems in change-point analysis1,004 cited
  • 1955A Test for a Change in a Parameter Occurring at an Unknown Point722 cited
  • 2009GLS-BASED UNIT ROOT TESTS WITH MULTIPLE STRUCTURAL BREAKS UNDER BOTH THE NULL AND THE ALTERNATIVE HYPOTHESES475 cited
  • 2000Testing for structural change in conditional models465 cited
  • 1983Introduction to Stochastic Integration459 cited
  • 2012Structural breaks in time series444 cited
  • 1996Monitoring Structural Change386 cited
  • 2010GARCH Models344 cited
  • 2002Detecting multiple breaks in financial market volatility dynamics324 cited
  • 2009Break detection in the covariance structure of multivariate time series models313 cited
  • 2009Common breaks in means and variances for panel data

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265 cited

Cited by

  • 2017High Dimensional Change Point Estimation via Sparse Projection232 cited
  • 2018Structural breaks in panel data: Large number of panels and short length time series74 cited
  • 2021Data segmentation algorithms: Univariate mean change and beyond52 cited
  • 2022High-Dimensional, Multiscale Online Changepoint Detection42 cited
  • 2017Optimal change point detection in Gaussian processes23 cited
  • 2021Change point analysis of covariance functions: A weighted cumulative sum approach19 cited
  • 2021High dimensional change point inference: Recent developments and extensions16 cited
  • 2019Sequential monitoring for changes from stationarity to mild non-stationarity16 cited
  • 2018Change‐Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models16 cited
  • 2024Data segmentation for time series based on a general moving sum approach15 cited
  • 2020Robust Change Point Test for General Integer-Valued Time Series Models Based on Density Power Divergence15 cited
  • 2020Change-point methods for multivariate time-series: paired vectorial observations15 cited
  • 2016High-dimensional change point estimation via sparse projection15 cited
  • 2016Detecting at‐Most‐m Changes in Linear Regression Models14 cited
  • 2020High-Dimensional, Multiscale Online Changepoint Detection13 cited
  • 2021Sequential change point tests based on U‐statistics12 cited