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Online Change Point Detection with Adaptive Learning for Multivariate Processes
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sim.4780111107openalex-extracted
Evaluations of methods for statistical surveillance
inferredcites →https://doi.org/10.1007/978-1-4757-9365-9openalex-extracted
Bayesian Forecasting and Dynamic Models
inferredcites →https://doi.org/10.1007/s10182-013-0216-yopenalex-extracted
Bandwidth selection for kernel density estimation: a review of fully automatic selectors
inferredcites →https://doi.org/10.1007/s10489-021-02321-6openalex-extracted
Change point detection for compositional multivariate data
inferredcites →https://doi.org/10.1016/j.cie.2021.107635openalex-extracted
Enhanced directionally sensitive and directionally invariant MCUSUM and MEWMA charts for process mean
inferredcites →https://doi.org/10.1016/j.cie.2022.107940openalex-extracted
Nonparametric multivariate processes monitoring with guaranteed in-control performance for changes in location
inferredcites →https://doi.org/10.1016/j.csda.2016.09.001openalex-extracted
FFT-based fast bandwidth selector for multivariate kernel density estimation
inferredcites →https://doi.org/10.1016/j.eswa.2022.118260openalex-extracted
Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data
inferredcites →https://doi.org/10.1016/j.patcog.2011.03.019openalex-extracted
Multivariate online kernel density estimation with Gaussian kernels
inferredcites →https://doi.org/10.1016/j.patcog.2021.107820openalex-extracted
Change-point detection in hierarchical circadian models
inferredcites →https://doi.org/10.1016/j.patcog.2022.108790openalex-extracted
The CP‐ABM approach for modelling COVID‐19 infection dynamics and quantifying the effects of non‐pharmaceutical interventions
inferredcites →https://doi.org/10.1016/j.patcog.2022.109022openalex-extracted
Online change-point detection with kernels
inferredcites →https://doi.org/10.1016/j.patcog.2022.109116openalex-extracted
Multi-Source Change-Point Detection over Local Observation Models
inferredcites →https://doi.org/10.1080/00207543.2020.1812750openalex-extracted
Nonparametric monitoring of multivariate data via KNN learning
inferredcites →https://doi.org/10.1080/00224065.2006.11918623openalex-extracted
Effects of Parameter Estimation on Control Chart Properties: A Literature Review
inferredcites →https://doi.org/10.1080/00224065.2016.11918148openalex-extracted
Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective
inferredcites →https://doi.org/10.1080/00401706.2015.1049750openalex-extracted
A Distribution-Free Multivariate Control Chart
inferredcites →https://doi.org/10.1080/08982112.2018.1549330openalex-extracted
Nonparametric (distribution-free) control charts: An updated overview and some results
inferredcites →https://doi.org/10.1080/10485259208832538openalex-extracted
Error analysis for general multtvariate kernel estimators
inferredcites →https://doi.org/10.1080/10618600.1994.10474656openalex-extracted
Fast Computation of Multivariate Kernel Estimators
inferredcites →https://doi.org/10.1080/21693277.2020.1871441openalex-extracted
Multivariate statistical process control methods for batch production: a review focused on applications
inferredcites →https://doi.org/10.1093/biomet/57.3.519openalex-extracted
Measures of Multivariate Skewness and Kurtosis with Applications
inferredcites →https://doi.org/10.1109/tit.2021.3130330openalex-extracted
Optimal Nonparametric Multivariate Change Point Detection and Localization
inferredcites →https://doi.org/10.1201/b15016openalex-extracted
Introduction to Statistical Process Control
inferredcites →https://doi.org/10.2139/ssrn.4039862openalex-extracted
Real-Time Change-Point Detection: A Deep Neural Network Based Adaptive Approach for Detecting Changes in Multivariate Time Series Data
inferredcites →https://doi.org/10.2307/2285519openalex-extracted
Power of the Noncentral F-Test: Effect of Additional Variates on Hotelling's T 2 -Test
inferredcites →https://doi.org/10.2307/2346830openalex-extracted
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.5244/c.19.59openalex-extracted
Incremental Learning of Temporally-Coherent Gaussian Mixture Models
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