Parallel-and-stream accelerator for computationally fast supervised learning
type: Item
instance of: scholarly article
title: Parallel-and-stream accelerator for computationally fast supervised learning
author: Emily C. Hector
author: Lan Luo
author: Peter X.-K. Song
published in: Computational Statistics and Data Analysis
publication date: 2022-10-17T00:00:00Z
full work available at URL: https://arxiv.org/abs/2111.00032
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7602502
zbMATH Keywords: confidence distribution
zbMATH Keywords: divide and conquer
zbMATH Keywords: generalized method of moments
zbMATH Keywords: online learning
zbMATH Keywords: prediction
Wikidata QID: Q114902554
MaRDI profile type: Publication
OpenAlex ID: W3209930278
cites work: Bayes and likelihood calculations from confidence intervals
cites work: Large Sample Properties of Generalized Method of Moments Estimators
cites work: Q5149227
cites work: A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
cites work: On statistics, computation and scalability
cites work: Q4226811
cites work: Cauchy and the gradient method
cites work: Score-matching representative approach for big data analysis with generalized linear models
cites work: Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets
cites work: A Stochastic Approximation Method
cites work: Efficient recursive estimation. Application to estimating the parameters of a covariance function
cites work: Combining information from independent sources through confidence distributions
cites work: Correlated data analysis: modeling, analytics, and applications
cites work: Q3188049
cites work: Scalable estimation strategies based on stochastic approximations: classical results and new insights
cites work: Quadratic inference function approach to merging longitudinal studies: validation and joint estimation
cites work: Optimal Subsampling for Large Sample Logistic Regression
cites work: Information-Based Optimal Subdata Selection for Big Data Linear Regression
cites work: Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
cites work: Confidence Distributions and a Unifying Framework for Meta-Analysis
cites work: An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
DOI: 10.1016/J.CSDA.2022.107587
description: scientific article; zbMATH DE number 7602502