Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches

This article develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with correlated outcomes such as longitudinal data and clustered data. We propose a renewable QIF (RenewQIF) method within a paradigm of renewable estimation and incremen...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 118; no. 543; pp. 2029 - 2044
Main Authors:	Luo, Lan, Zhou, Ling, Song, Peter X.-K.
Format:	Journal Article
Language:	English
Published:	United States Taylor & Francis 03.07.2023 Taylor & Francis Ltd
Subjects:	Abnormal data batch detection Algorithms Crashworthiness Data quality Data systems Datasets Estimation Generalized estimating equation Goodness of fit Homogeneity Impact strength Incremental statistical analysis Inference Learning Machine learning Medical diagnosis Medical screening Morality Online learning Parameter estimation Quadratic inference function Regression analysis Regression coefficients Sampling Simulation Spark computing platform Statistical analysis Statistical inference Statistical tests Statistics Traffic accidents Abnormal data batch detection Quadratic inference function Generalized estimating equation Incremental statistical analysis Online learning Spark computing platform
ISSN:	0162-1459, 1537-274X, 1537-274X
Online Access:	Get full text
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