带有变异性惩罚的生成式量子回归

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-03-08 DOI:10.1080/10618600.2024.2327824

Shijie Wang, Minsuk Shin, Ray Bai

引用次数: 0

摘要

量子回归和条件密度估计可以揭示均值回归所忽略的结构，如多模态和偏度。在本文中，我们引入了一种深度学习泛型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Generative Quantile Regression with Variability Penalty

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.