SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
16 references·0 citing·37 second hop
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals (2025)Change Point Analysis for Functional Data…Change Point Analysis for Time Series (2024)Change Point Analysis for Tim…Scalable multiple changepoint detection for functional data sequences (2021)Scalable multiple changepoint…Consistency of binary segmentation for multiple change-point estimation with functional data (2021)Consistency of binary segment…Change point analysis of covariance functions: A weighted cumulative sum approach (2021)Change point analysis of cova…Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation (2019)Identifying multiple changes …Change-point detection and bootstrap for Hilbert space valued random fields (2017)Change-point detection and bo…Automatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…Extensions of some classical methods in change point analysis (2014)Extensions of some classical …Decoupling change-point detection based on characteristic functions: Methodology, asymptotics, subsampling and application (2013)Decoupling change-point detec…A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data (2013)A Nonparametric Approach for …Detecting and estimating changes in dependent functional data (2012)Detecting and estimating chan…Robust forecasting of mortality and fertility rates: A functional data approach (2006)Robust forecasting of mortali…Change Point Analysis based on Empirical Characteristic Functions (2006)Change Point Analysis based o…Rank based estimators of the change-point (1998)Rank based estimators of the …Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Heteroskedasticity and Autoco…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESLimit theorems in change-point analysis (1997)Permutation tests in change point analysis (2001)Change-Point Analysis Based on Empirical Characteristic Functions of Ranks (2006)Monitoring changes in the error distribution of autoregressive models based on Fourier methods (2011)A Unified Data-Adaptive Framework for High Dimensional Change Point Detection (2020)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Testing for unit roots in heterogeneous panels (2003)Structural breaks in panel data: Large number of panels and short length time series (2018)Data segmentation algorithms: Univariate mean change and beyond (2021)High-Dimensional, Multiscale Online Changepoint Detection (2022)Least‐squares Estimation of an Unknown Number of Shifts in a Time Series (2000)Evaluating stationarity via change-point alternatives with applications to fMRI data (2012)Detection of Change in the Spatiotemporal Mean Function (2016)Time Series Regression with a Unit Root (1987)Testing for cointegration using principal components methods (1988)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Comparing Predictive Accuracy (1994)Efficient Tests for an Autoregressive Unit Root (1996)Book Review: Time Series Analysis: Forecasting and Control (1977)Modeling and Forecasting U. S. Mortality (1992)A state space framework for automatic forecasting using exponential smoothing methods (2002)Demographic forecasting: 1980 to 2005 in review (2006)Mortality Modelling and Forecasting: a Review of Methods (2008)Forecasting: theory and practice (2022)Estimating the number of change-points via Schwarz' criterion (1988)Optimal Detection of Changepoints With a Linear Computational Cost (2012)ecp: AnRPackage for Nonparametric Multiple Change Point Analysis of Multivariate Data (2014)A computationally efficient nonparametric approach for changepoint detection (2016)Genre-based L2 writing instruction and writing-specific psychological factors: The dynamics of change (2018)TESTING FOR DISTRIBUTIONAL CHANGE IN TIME SERIES (2001)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)Forecasting at Scale (2017)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Fast on-line changepoint detection using heavily-weighted CUSUM and veto-based decision rules (2025)
this work references cited by second hop

References

  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1991Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation4,039 cited
  • 2017Automatic time series forecasting: the forecast package for R1,019 cited
  • 2006Robust forecasting of mortality and fertility rates: A functional data approach675 cited
  • 2013A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data545 cited
  • 2014Extensions of some classical methods in change point analysis127 cited
  • 2012Detecting and estimating changes in dependent functional data101 cited
  • 2006Change Point Analysis based on Empirical Characteristic Functions37 cited
  • 2024Change Point Analysis for Time Series33 cited
  • 2017Change-point detection and bootstrap for Hilbert space valued random fields30 cited
  • 1998Rank based estimators of the change-point23 cited
  • 2019Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation21 cited
  • 2021Change point analysis of covariance functions: A weighted cumulative sum approach19 cited
  • 2021Consistency of binary segmentation for multiple change-point estimation with functional data15 cited
  • 2021Scalable multiple changepoint detection for functional data sequences

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

14 cited
  • 2013Decoupling change-point detection based on characteristic functions: Methodology, asymptotics, subsampling and application13 cited
  • Cited by

    No citing works inside the corpus for this window.