Calculations involving the multivariate normal and multivariate t distributions with and without truncation

被引:0
|
作者
Grayling, Michael J. [1 ]
Mander, Adrian P. [1 ]
机构
[1] MRC Biostat Unit, Hub Trials Methodol Res, Cambridge, England
来源
STATA JOURNAL | 2018年 / 18卷 / 04期
基金
英国医学研究理事会; 英国惠康基金;
关键词
st0542; mvnormalden; pmvnormal; invmvnormal; rmvnormal; mvtden; mvt; invmvt; rmvt; tmvnormalden; tmvnormal; invtmvnormal; rtmvnormal; tmvtden; tmvt; invtmvt; rtmvt; multivariate normal; multivariate t; truncated distribution; SIMULATION;
D O I
10.1177/1536867X1801800405
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
In this article, we present a set of commands and Mata functions to evaluate different distributional quantities of the multivariate normal distribution and a particular type of noncentral multivariate t distribution. Specifically, their densities, distribution functions, equicoordinate quantiles, and pseudo-random vectors can be computed efficiently, in either the absence or the presence of variable truncation.
引用
收藏
页码:826 / 843
页数:18
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