CONTINUOUS INSPECTION SCHEMES

1954/01/01 by E. S. Page, E. S. PAGE · 4,692 citations
Mathematics · Physics and Astronomy · #Algebraic and Geometric Analysis #Iterative Methods for Nonlinear Equations #Mathematics #Nonlinear Waves and Solitons #Statistics

paper · doi:10.1093/biomet/41.1-2.100

published in Biometrika 41(1-2), 100-115 (Oxford University Press)

openalex publication_date 1954/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Cited by

• Risk Adjusted Continuous Monitoring of Postoperative Mortality After Cardiac Surgery
• New species of cockroaches of the genus Rhabdoblatta Kirby (Dictyoptera, Blaberidae) from southeast Asia. I.
• A Comparison of Some Control Chart Procedures
• Performance of CUSUM Control Schemes for Serially Correlated Observations
• Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice
• CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning
• Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection
• focus and focus-cpt: Fast Online Changepoint Detection in R and Python
• Approximately Optimal Multi-Stream Quickest Change Detection
• Anytime Detection of Strategic Deviations in Multi-Agent Systems
• On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
• Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
• A Wide-Sense Stationarity Test Based on the Geometric Structure of Covariance
• A review of process fault detection and diagnosis
• A review of process fault detection and diagnosis
• Sequential change-point detection for generalized Ornstein-Uhlenbeck processes
• Sequential (Quickest) Change Detection: Classical Results and New Directions
• Second-Order Asymptotic Optimality in Multisensor Sequential Change Detection
• Autocovariance estimation in regression with a discontinuous signal and m-dependent errors: A difference-based approach
• Detecting Rewards Deterioration in Episodic Reinforcement Learning
• Change point localization in dependent dynamic nonparametric random dot product graphs
• Quickest Detection with Rough Path Signatures
• The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems
• Adaptive Accountability in Networked MAS: Tracing and Mitigating Emergent Norms at Scale
• GB-DQN: Gradient Boosted DQN Models for Non-stationary Reinforcement Learning
• Wavelet-Packet-based Noise Signatures With Higher-Order Statistics for Anomaly Prediction
• Optimal Change-Point Detection with Training Sequences in the Large and Moderate Deviations Regimes
• High-Dimensional Change Point Detection via Graph Spanning Ratio
• Spectrum Sensing with Small-Sized Datasets in Cognitive Radio: Algorithms and Analysis
• Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection
• Log Probability Tracking of LLM APIs
• Optimality of Graph Scanning Statistic for Online Community Detection
• Multiple change-points detection based on U-Statistics under weak dependence
• PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
• Finite-Horizon Quickest Change Detection Balancing Latency with False Alarm Probability
• Anomaly Detection in High-Dimensional Bank Account Balances via Robust Methods
• Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
• BayesChange: an R package for Bayesian Change Point Analysis
• Score-Based Quickest Change Detection and Fault Identification for Multi-Stream Signals
• Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
• NOMAD -- Navigating Optimal Model Application to Datastreams
• Sequential Change Detection Under A Markov Setup With Unknown Pre-Change and Post-Change Distributions
• Tractable Algorithms for Changepoint Detection in Player Performance Metrics
• Quickest Change Point Detection with Measurements over a Lossy Link
• Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification
• Optimality of Non-Restarting CUSUM charts
• A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem
• Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
• Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
• Spectrum Exploration and Exploitation for Cognitive Radio: Recent Advances
• Monitoring a robot swarm using a data-driven fault detection approach
• Retrain or not retrain: Conformal test martingales for change-point detection
• Temporal Opinion Spam Detection by Multivariate Indicative Signals
• Optimal Change Point Detection and Localization in Sparse Dynamic Networks
• OEUVRE: OnlinE Unbiased Variance-Reduced loss Estimation
• DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
• A Survey of Fault Detection, Isolation, and Reconfiguration Methods
• Change, dependence, and discovery: Celebrating the work of T.L. Lai
• A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks
• Interactive Change Point Detection using optimisation approach and Bayesian statistics applied to real world applications
• From Observations to Parameters: Detecting Changepoint in Nonlinear Dynamics with Simulation-based Inference
• Distributed Change Detection via Average Consensus over Networks
• TWIN: Two window inspection for online change point detection
• Detection of mean changes in partially observed functional data
• Linearly penalized segmentation, binary segmentation, bottom-up segmentation and window-based methods for change point detection
• Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting
• First-order optimal sequential subspace change-point detection
• Calculation of the ELISA’s cut-off based on the change-point analysis method for detection of Trypanosoma cruzi infection in Bolivian dogs in the absence of controls
• The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection
• A Model of Distributed Disorders Detection
• Optimal network online change point localisation
• Methods for statistical detection of GRBs in the context of the LST-CTAO
• Sequential analysis in a continuous spin-noise quantum sensor
• A Systematic Literature Review on Multi-label Data Stream Classification
• Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors
• Quickest Change Detection with Cost-Constrained Experiment Design
• Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
• Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks
• Bandit Quickest Changepoint Detection
• Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests
• Mutual Information Tracks Policy Coherence in Reinforcement Learning
• Online Robust and Adaptive Learning from Data Streams
• Sequential Adversarial Anomaly Detection for One-Class Event Data
• Estimating a change point in a sequence of very high-dimensional covariance matrices
• Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series
• An Efficient Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks
• Bayesian Online Changepoint Detection
• Sequential Change Detection with Differential Privacy
• Isolation and Localization of Unknown Faults Using Neural Network-Based\n Residuals
• A novel methodological framework for analyzing the momentum effect in tennis singles
• Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
• Adaptive CUSUM Chart for Real-Time Monitoring of Bivariate Event Data
• Change Detection with Sparse Signals using Quantum Designs
• Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
• Tuning Windowed Chi-Squared Detectors for Sensor Attacks
• Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results
• Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformization
• Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
• Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space
• Asymptotic Distribution of the Delay Time in Page's Sequential Procedure
• Bayesian EWMA and CUSUM Control Charts Under Different Loss Functions
• Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis
• Steady State of Pedestrian Flow in Bottleneck Experiments
• ARMS: Adaptive and Robust Memory Tiering System
• Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry
• Asymptotic Optimality in Byzantine Distributed Quickest Change Detection
• Attack-Aware Multi-Sensor Integration Algorithm for Autonomous Vehicle Navigation Systems
• Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams
• Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
• Empirical Likelihood for Change Point Detection in Autoregressive Models
• What Can Grokking Teach Us About Learning Under Nonstationarity?
• Adaptive Change Point Monitoring for High-Dimensional Data
• Estimation of multiple change points under a generalised Ornstein-Uhlenbeck framework
• Determination of a structural break in a mean-reverting process
• Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
• Valid Post-Detection Inference for Change Points Identified Using Trend Filtering
• Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
• Computationally efficient algorithm for fast transients detection
• Quickest detection in practice in presence of seasonality: An illustration with call center data
• Quickest Change Detection with Mismatched Post-Change Models
• Non-Parametric Quickest Detection of a Change in the Mean of an Observation Sequence
• Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality
• Homogeneity and change-point detection tests for multivariate data using rank statistics
• Graphical-statistical method to explore variability of hydrological time series
• IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
• Robust Online Detection in Serially Correlated Directed Network
• A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
• Training Neural Networks for Likelihood/Density Ratio Estimation
• Inductive Conformal Martingales for Change-Point Detection
• Weighted-Graph-Based Change Point Detection
• Constrained Attack-Resilient Estimation of Stochastic Cyber-Physical Systems
• Multiple Changepoint Estimation in High-Dimensional Gaussian Graphical Models
• From concept drift to model degradation: An overview on performance-aware drift detectors
• Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams
• Uncovering Market Disorder and Liquidity Trends Detection
• CacheShield: Protecting Legacy Processes Against Cache Attacks
• DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation
• DUST: A Duality-Based Pruning Method For Exact Multiple Change-Point Detection
• Network structural change point detection and reconstruction for balanced neuronal networks
• Simultaneous Sequential Detection of Multiple Interacting Faults
• Quickest Detection of Adversarial Attacks Against Correlated Equilibria
• A Method for Detecting Life-Threatening Signals in Serum Potassium Level after Myocardial Infarction
• A review on minimax rates in change point detection and localisation
• Change Point Localization and Inference in Dynamic Multilayer Networks
• Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
• On the Foundations of Adversarial Single-Class Classification
• WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection
• Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
• Efficient Byzantine Sequential Change Detection
• Change Detection via Affine and Quadratic Detectors
• Change point detection in autoregressive models with no moment assumptions
• Randomized Sensor Selection in Sequential Hypothesis Testing
• A Novel Algorithm for Cooperative Distributed Sequential Spectrum Sensing in Cognitive Radio
• Low-frequency estimation of internal variables and sensor fault detection for a hydro synchronous generator
• On Control Charts for Monitoring the Variance of a Time Series
• Empirical Bayesian analysis of simultaneous changepoints in multiple data sequences
• Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity
• Reservoir computing approaches to unsupervised concept drift detection in dynamical systems
• Nonparametric Adaptive CUSUM Chart for Detecting Arbitrary Distributional Changes
• Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
• A probability theoretic approach to drifting data in continuous time domains
• A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease
• WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
• Screening and merging algorithm for the detection of copy-number alterations
• Distributed Detection/Isolation Procedures for Quickest Event Detection in Large Extent Wireless Sensor Networks
• A Pontryaghin Maximum Principle Approach For The Optimization Of Dividends/consumption Of Spectrally Negative Markov Processes, Until A Generalized Draw-down Time
• Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs
• Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis
• A Safety Constrained Control Framework for UAVs in GPS Denied Environment
• Change point analysis in non-stationary processes - a mass excess approach
• Automated Machine Learning Techniques for Data Streams
• Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences
• Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues
• Optimal Online Change Detection via Random Fourier Features
• Online Nonparametric Anomaly Detection based on Geometric Entropy Minimization
• Real-Time Detection and Repair of LLM Agent Failures
• Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
• Segmentation of Encrypted data
• New modified exponentially weighted moving average-moving average control chart for process monitoring
• Robust detection of spatial boundaries with heavy–tailed errors
• Change Point Detection by Cross-Entropy Maximization
• Selective review of offline change point detection methods
• Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series
• An Optimal False Discovery Rate Controlling Procedure for Changepoint Detection
• Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
• Multiple‐mainshock events and long‐term seismogenesis in Italy and New Zealand
• Data-Efficient Quickest Change Detection in Minimax Settings
• A New Pattern Representation Method for Time-Series Data
• Sequential change-point detection when unknown parameters are present in the pre-change distribution
• Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
• Selective Inference for Change Point Detection in Multi-dimensional Sequences
• Early Detection of Influenza outbreaks in the United States
• Event Correlation and Forecasting over Multivariate Streaming Sensor Data
• Sequential change detection revisited
• From “Disorder” to Nonlinear Filtering and Martingale Theory
• LPD Communication: A Sequential Change-Point Detection Perspective
• General Asymptotic Bayesian Theory of Quickest Change Detection
• On detecting weak changes in the mean of CHARN models
• The Exponentially Weighted Moving Average
• Quickest Change Detection with Privacy Constraint
• Asymptotic Properties of One-Bit Distributed Detection with Ordered Transmissions
• Methodology Review: Evaluating Person Fit
• Cooperative Sequential Spectrum Sensing Algorithms for OFDM
• A CUSUM approach to the detection of copy-number neutral loss of heterozygosity
• Quantum-Enhanced Change Detection and Joint Communication-Detection
• Breaking the Flow and the Bank: Stealthy Cyberattacks on Water Network Hydraulics
• Evolutionary events in a mathematical sciences research collaboration network
• A survey on concept drift adaptation
• Ensemble learning for data stream analysis: A survey
• Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis
• Beyond the QBER Threshold: A Temporal QBER Based Machine Learning Framework for Multi Attack Detection in BB84 QKD
• A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission
• First Solar Energetic Particles Measured on the Lunar Far-side
• Quantum Change Point
• Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers
• On the Wiener disorder problem
• Fundamental Limits Of Quickest Change-point Detection With Continuous-Variable Quantum States
• Detecting weak changes in dynamic events over networks
• Testing and dating structural changes in copula-based dependence measures
• A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
• Minimax Robust Quickest Change Detection
• Real Time Sentiment Change Detection of Twitter Data Streams
• Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates
• SEAM: Global consistency beyond local accuracy in scientific machine learning
• Innovation-Residual Auditing of Autonomous Analysis Agents: Localization, Detection Limits, Error Control, and Identifiability
• BLAST: Bayesian online change-point detection with structured image data
• Modeling Discrete Coating Degradation Events via Hawkes Processes
• An Analytic Expression for the Distribution of the Generalized Shiryaev–Roberts Diffusion
• Estimation of Change Points for Non-linear (auto-)regressive processes using Neural Network Functions
• Quickest change detection for UAV-based sensing
• Max-Type and Sum-Type Procedures for Online Change-Point Detection in the Mean of High-Dimensional Data
• Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
• Accounting for seasonal patterns in syndromic surveillance data for outbreak detection. [europepmc]
• The CUSUM chart method as a tool for continuous monitoring of clinical outcomes using routinely collected data. [europepmc]
• A Bayesian spatio-temporal approach for real-time detection of disease outbreaks: a case study. [europepmc]
• Single and Multiple Change Point Detection in Spike Trains: Comparison of Different CUSUM Methods. [europepmc]
• Energy-Based Acoustic Source Localization Methods: A Survey. [europepmc]
• Model-guided control of hippocampal discharges by local direct current stimulation. [europepmc]
• The molecular basis of thin filament activation: from single molecule to muscle. [europepmc]
• Detecting changes in real-time data: a user's guide to optimal detection. [europepmc]
• CRS and HIPEC for PMP-Use of the LC-CUSUM to Determine the Number of Procedures Required to Attain a Minimal Level of Proficiency in Delivering the Combined Modality Treatment. [europepmc]
• Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity. [europepmc]
• Change-point detection method for clinical decision support system rule monitoring. [europepmc]
• Risk-adjusted monitoring of surgical performance. [europepmc]
• Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings. [europepmc]
• A flexible and generalizable model of online latent-state learning. [europepmc]
• Efficacy of statistical process control procedures to identify deviations in continuously measured physiologic and behavioral variables in beef steers experimentally challenged with Mannheimia haemolytica. [europepmc]
• CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer. [europepmc]
• A computationally efficient nonparametric approach for changepoint detection. [europepmc]
• Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits. [europepmc]
• Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development. [europepmc]
• Sequential Change-Point Detection via Online Convex Optimization. [europepmc]
• Monitoring Volatility Change for Time Series Based on Support Vector Regression. [europepmc]
• The performance of a modified EWMA control chart for monitoring autocorrelated PM2.5 and carbon monoxide air pollution data. [europepmc]
• The accuracy of quantitative EEG biomarker algorithms depends upon seizure onset dynamics. [europepmc]
• Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection. [europepmc]
• Approaching precision public health by automated syndromic surveillance in communities. [europepmc]
• Change sign detection with differential MDL change statistics and its applications to COVID-19 pandemic analysis. [europepmc]
• Cortical representation of group social communication in bats. [europepmc]
• Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. [europepmc]
• Quantification of Epileptogenic Network From Stereo EEG Recordings Using Epileptogenicity Ranking Method. [europepmc]
• Decision-making algorithms for learning and adaptation with application to COVID-19 data. [europepmc]
• Monitoring surgical quality: the cumulative sum (CUSUM) approach. [europepmc]
• The Exponentially Weighted Moving Average Procedure for Detecting Changes in Intensive Longitudinal Data in Psychological Research in Real-Time: A Tutorial Showcasing Potential Applications. [europepmc]
• Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. [europepmc]
• Mathematical modeling in perspective of vector-borne viral infections: a review. [europepmc]
• Learning Curve of Robot-Assisted Thymectomy: Single Surgeon's 7-Year Experience. [europepmc]
• Design of moving average chart and auxiliary information based chart using extended EWMA. [europepmc]
• Adaptive EWMA control chart using Bayesian approach under ranked set sampling schemes with application to Hard Bake process. [europepmc]
• CUSUM learning curves: what they can and can't tell us. [europepmc]
• Robotic docking time with the Hugo™ RAS system in gynecologic surgery: a procedure independent learning curve using the cumulative summation analysis (CUSUM). [europepmc]
• Risk-Adjusted Cumulative Sum for Early Detection of Hospitals With Excess Perioperative Mortality. [europepmc]
• Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering. [europepmc]
• Triple exponentially weighted moving average control chart with measurement error. [europepmc]
• A Weibull process monitoring with AEWMA control chart: an application to breaking strength of the fibrous composite. [europepmc]
• A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process. [europepmc]
• Effectiveness of a Game-Based Mobile App for Educating Intensive Critical Care Specialist Nurses in Extracorporeal Membrane Oxygenation Pipeline Preflushing: Quasi-Experimental Trial. [europepmc]
• Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory. [europepmc]
• Nonparametric mixed exponentially weighted moving average-moving average control chart. [europepmc]
• New adaptive EWMA CV control chart with application to the sintering process. [europepmc]
• Machine learning based parameter-free adaptive EWMA control chart to monitor process dispersion. [europepmc]
• Wastewater Monitoring During the COVID-19 Pandemic in the Veneto Region, Italy: Longitudinal Observational Study. [europepmc]