Detecting change points and monitoring biomedical data

DOI10.1080/03610929508831555zbMath0850.62828OpenAlexW2016517692MaRDI QIDQ4883449

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Publication date: 4 July 1996

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831555

zbMATH Keywords

posterior probabilitylinear dynamic modelchange point regressionrenal transplantlikelihood ration

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

• Hotelling's theorem on the volume of tubes: Some illustrations in simultaneous inference and data analysis
• Boundary crossing probabilities and statistical applications
• On Hotelling's formula for the volume of tubes and Naiman's inequality
• Multivariate adaptive regression splines
• Monitoring Renal Transplants: An Application of the Multiprocess Kalman Filter
• On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression
• Straight Lines with a Change-Point: A Bayesian Analysis of Some Renal Transplant Data
• A Bayesian approach to inference about a change-point in a sequence of random variables
• Simultaneous Confidence Bounds in Multiple Regression Using Predictor Variable Constraints
• Hierarchical Bayesian Analysis of Changepoint Problems
• Inference in Two-Phase Regression
• Tubes and Spheres in n-Spaces, and a Class of Statistical Problems
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