Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets
From MaRDI portal
Publication:5117622
DOI10.1111/rssb.12352zbMath1440.62288OpenAlexW2998716009MaRDI QIDQ5117622
Publication date: 26 August 2020
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2027.42/153655
on-line learningstochastic gradient descent algorithmincremental statistical analysislambda architecturespark computing platform
Generalized linear models (logistic models) (62J12) Sequential estimation (62L12) Statistical aspects of big data and data science (62R07)
Related Items (13)
A selective review of statistical methods using calibration information from similar studies ⋮ A general framework of online updating variable selection for generalized linear models with streaming datasets ⋮ Online Updating of Survival Analysis ⋮ Multivariate online regression analysis with heterogeneous streaming data ⋮ Optimal subsampling for multiplicative regression with massive data ⋮ Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches ⋮ Online inference in high-dimensional generalized linear models with streaming data ⋮ Online renewable smooth quantile regression ⋮ Doubly-online changepoint detection for monitoring health status during sports activities ⋮ An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models ⋮ Renewable composite quantile method and algorithm for nonparametric models with streaming data ⋮ Renewable Huber estimation method for streaming datasets ⋮ Parallel-and-stream accelerator for computationally fast supervised learning
This page was built for publication: Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets