健壮的倒影

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Canadian Journal of Statistics-Revue Canadienne De Statistique Pub Date : 2022-07-04 DOI:10.1002/cjs.11709
David Andrews, Chris Field
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引用次数: 0

摘要

两位资深统计学家/数据科学家反思了使用鲁棒性分析日益复杂的数据所带来的挑战。其中包括一些关于未来需要的稳健分析类型的想法,同时认识到我们成功预测未来的能力非常有限。
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Robust reflections

Two senior statisticians/data scientists reflect on the challenges arising from the analysis of increasingly complex data using robustness. They include some thoughts on the types of robust analysis that will be needed in the future, while cognizant of our very limited ability to successfully predict the future.

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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
62
审稿时长
>12 weeks
期刊介绍: The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics. The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.
期刊最新文献
Issue Information Issue Information Issue Information Censored autoregressive regression models with Student-t innovations Acknowledgement of referees' services remerciements aux membres des jurys
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