Posterior contraction rates for constrained deep Gaussian processes in density estimation and classification

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-03-07 DOI:10.1080/03610926.2024.2321185

François Bachoc, Agnès Lagnoux

引用次数: 0

Abstract

We provide posterior contraction rates for constrained deep Gaussian processes in non parametric density estimation and classification. The constraints are in the form of bounds on the values and o...

查看原文本刊更多论文

密度估计和分类中受约束深高斯过程的后验收缩率

我们为非参数密度估计和分类中的受约束深高斯过程提供了后验收缩率。约束的形式是对数值的约束和对...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.