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Supervised learning for change-point detection
10 references·4 citing·42 second hop
Supervised learning for change-point detection (2006)Supervised learning for change-point dete…Multivariate statistical process control with artificial contrasts (2007)Multivariate statistical proc…Multivariate Extensions to Cumulative Sum Control Charts (2004)Multivariate Extensions to Cu…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A Multivariate Exponentially …Maximum Likelihood Estimation of Multiple Change Points (1990)Maximum Likelihood Estimation…Nonparametric Change-Point Estimation (1988)Nonparametric Change-Point Es…Nonparametric tests for the changepoint problem (1987)Nonparametric tests for the c…Maximum likelihood estimation of a change-point in the distribution of independent random variables: General multiparameter case (1987)Maximum likelihood estimation…Inference about the Change-Point from Cumulative Sum Tests (1971)Inference about the Change-Po…Inference About the Change-Point in a Sequence of Random Variables (1970)Inference About the Change-Po…Multivariate Quality Control-illustrated by the air testing of sample bombsights (1947)Multivariate Quality Control-…A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes (2023)A Review on Statistical Proce…A probabilistic artificial neural network-based procedure for variance change point estimation (2014)A probabilistic artificial ne…Multivariate process parameter change identification by neural network (2013)Multivariate process paramete…An integrated supervised learning solution for monitoring process mean vector (2011)An integrated supervised lear…CONTINUOUS INSPECTION SCHEMES (1954)A Test for a Change in a Parameter Occurring at an Unknown Point (1955)A Non-Parametric Approach to the Change-Point Problem (1979)Testing and estimating in the change-point problem of the spectral function (1992)On the power of nonparametric changepoint-tests (1994)A cusum change-point detection algorithm for non-stationary sequences with application to data network surveillance (2010)A Bayesian approach to inference about a change-point in a sequence of random variables (1975)The Problem of the Nile: Conditional Solution to a Changepoint Problem (1978)Nonparametric Monitoring of Data Streams for Changes in Location and Scale (2011)Inference for single and multiple change‐points in time series (2013)A computationally efficient nonparametric approach for changepoint detection (2016)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A review of multivariate control charts (1995)Multivariate SPC Methods for Process and Product Monitoring (1996)Control Chart Tests Based on Geometric Moving Averages (2000)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Cumulative Sum Charts and Charting for Quality Improvement (1998)Using labeled data to evaluate change detectors in a multivariate streaming environment (2009)A comparison study on effectiveness and robustness of control charts for monitoring process mean and variance (2011)A LASSO Chart for Monitoring the Covariance Matrix (2013)Estimating the Current Mean of a Normal Distribution which is Subjected to Changes in Time (1964)On Tests for Detecting Change in Mean (1975)Adaptive Detection of Multiple Change-Points in Asset Price Volatility (2006)Confidence sets for the date of a single break in linear time series regressions (2007)Inference regarding multiple structural changes in linear models with endogenous regressors (2012)A Simple Cumulative Sum Type Statistic for the Change-Point Problem with Zero-One Observations (1980)Detection of Multiple Changes of Variance Using Posterior Odds (1993)Multiple‐Changepoint Testing for an Alternating Segments Model of a Binary Sequence (2000)Asymptotic properties of maximum likelihood estimators in models with multiple change points (2010)Statistical Perspectives on “Big Data” (2015)Nonparametric monitoring of multivariate data via KNN learning (2020)Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (2021)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Estimation of a Change Point in Multiple Regression Models (1997)Dealing with Structural Breaks (2005)The Changepoint Model for Statistical Process Control (2003)The Cusum Test for Parameter Change in Time Series Models (2003)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)A Rank-Based Multivariate CUSUM Procedure (2001)Wavelet-based multiscale statistical process monitoring: A literature review (2004)Multivariate Quality Control (2013)
this work references cited by second hop

References

  • 1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
  • 1970Inference About the Change-Point in a Sequence of Random Variables831 cited
  • 1947Multivariate Quality Control-illustrated by the air testing of sample bombsights471 cited
  • 1971Inference about the Change-Point from Cumulative Sum Tests460 cited
  • 1988Nonparametric Change-Point Estimation225 cited
  • 1987Maximum likelihood estimation of a change-point in the distribution of independent random variables: General multiparameter case89 cited
  • 1990Maximum Likelihood Estimation of Multiple Change Points70 cited
  • 1987Nonparametric tests for the changepoint problem57 cited
  • 2007Multivariate statistical process control with artificial contrasts54 cited
  • 2004Multivariate Extensions to Cumulative Sum Control Charts49 cited

Cited by

  • 2023A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes28 cited
  • 2014A probabilistic artificial neural network-based procedure for variance change point estimation18 cited
  • 2011An integrated supervised learning solution for monitoring process mean vector15 cited
  • 2013Multivariate process parameter change identification by neural network13 cited

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