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Scalable multiple changepoint detection for functional data sequences
15 references·1 citing·37 second hop
Scalable multiple changepoint detection for functional data sequences (2021)Scalable multiple changepoint detection f…Selective review of offline change point detection methods (2019)Selective review of offline c…Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation (2019)Identifying multiple changes …Changepoint Detection in the Presence of Outliers (2017)Changepoint Detection in the …On optimal multiple changepoint algorithms for large data (2016)On optimal multiple changepoi…Detection of Change in the Spatiotemporal Mean Function (2016)Detection of Change in the Sp…Wild binary segmentation for multiple change-point detection (2014)Wild binary segmentation for …Optimal Detection of Changepoints With a Linear Computational Cost (2012)Optimal Detection of Changepo…Detecting and estimating changes in dependent functional data (2012)Detecting and estimating chan…Testing for Change Points in Time Series (2010)Testing for Change Points in …Nonparametric time series forecasting with dynamic updating (2010)Nonparametric time series for…Efficient change point detection for genomic sequences of continuous measurements (2010)Efficient change point detect…Stochastic population forecasts using functional data models for mortality, fertility and migration (2008)Stochastic population forecas…Current research on profile monitoring (2007)Current research on profile m…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESBreak point detection for functional covariance (2022)Break point detection for fun…Time Series Regression with a Unit Root (1987)Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Uniform change point tests in high dimension (2015)A Likelihood Ratio Approach to Sequential Change Point Detection for a General Class of Parameters (2019)Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation (2021)Modeling and Forecasting U. S. Mortality (1992)A state space framework for automatic forecasting using exponential smoothing methods (2002)Broken Limits to Life Expectancy (2002)Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods (2011)Bayesian Population Forecasting: Extending the Lee-Carter Method (2015)Thirty years on: A review of the Lee–Carter method for forecasting mortality (2022)On-Line Monitoring When the Process Yields a Linear Profile (2000)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Monitoring Profiles Based on Nonparametric Regression Methods (2008)Some Recent Developments on the Effects of Parameter Estimation on Control Charts (2013)How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study (2023)Estimating the number of change-points via Schwarz' criterion (1988)Univariate mean change point detection: Penalization, CUSUM and optimality (2020)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data. (1993)Model-Based Geostatistics (1998)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Spatial Panel Econometrics (2008)Rank Correlation Methods. (1957)Rank Correlation Methods (1973)A Survey on Concept Drift in Process Mining (2021)Sequential (Quickest) Change Detection: Classical Results and New Directions (2021)Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle (2021)changepoint : An R Package for Changepoint Analysis (2014)Multiscale Change Point Inference (2014)High Dimensional Change Point Estimation via Sparse Projection (2017)Procedures for Reacting to a Change in Distribution (1971)A heuristic, iterative algorithm for change-point detection in abrupt change models (2017)A MOSUM procedure for the estimation of multiple random change points (2017)Heterogeneous change point inference (2017)
this work references cited by second hop

References

  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 2012Optimal Detection of Changepoints With a Linear Computational Cost2,578 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 2019Selective review of offline change point detection methods1,361 cited
  • 2014Wild binary segmentation for multiple change-point detection721 cited
  • 2007Current research on profile monitoring314 cited
  • 2010Testing for Change Points in Time Series253 cited
  • 2008Stochastic population forecasts using functional data models for mortality, fertility and migration230 cited
  • 2016On optimal multiple changepoint algorithms for large data187 cited
  • 2010Efficient change point detection for genomic sequences of continuous measurements157 cited
  • 2017Changepoint Detection in the Presence of Outliers157 cited
  • 2012Detecting and estimating changes in dependent functional data101 cited
  • 2010Nonparametric time series forecasting with dynamic updating54 cited
  • 2016Detection of Change in the Spatiotemporal Mean Function47 cited
  • 2019Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation21 cited

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Cited by

  • 2022Break point detection for functional covariance13 cited