更正：使用 SAEM 算法在非线性混合效应模型中进行贝叶斯高维协变量选择

IF 1.6 2区数学 Q2 COMPUTER SCIENCE, THEORY & METHODS

Statistics and Computing Pub Date : 2024-04-08 DOI:10.1007/s11222-024-10421-9

Marion Naveau, Guillaume Kon Kam King, Renaud Rincent, Laure Sansonnet, Maud Delattre

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Correction to: Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm

查看原文本刊更多论文

Correction to: Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Statistics and Computing 数学-计算机：理论方法

CiteScore

3.20

自引率

4.50%

发文量

审稿时长

6-12 weeks

期刊介绍： Statistics and Computing is a bi-monthly refereed journal which publishes papers covering the range of the interface between the statistical and computing sciences. In particular, it addresses the use of statistical concepts in computing science, for example in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis. Specific topics which are covered include: techniques for evaluating analytically intractable problems such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification. In addition, the journal contains original research reports, authoritative review papers, discussed papers, and occasional special issues on particular topics or carrying proceedings of relevant conferences. Statistics and Computing also publishes book review and software review sections.