多项式概率贝叶斯加性回归树的增量取样器

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-08-05 DOI:10.1080/10618600.2024.2388605

Yizhen Xu, Joseph Hogan, Michael Daniels, Rami Kantor, Ann Mwangi

引用次数: 0

摘要

多项式概率（MNP）（Imai 和 van Dyk，2005 年）框架基于多变量高斯潜在结构，可自然扩展到多层次建模。与多项式概率（MNP）不同的是，多项式概率（MNP）是一种多变量高斯潜在结构。

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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Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees

The multinomial probit (MNP) (Imai and van Dyk, 2005) framework is based on a multivariate Gaussian latent structure, allowing for natural extensions to multilevel modeling. Unlike multinomial logi...

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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.