필터 지우기
필터 지우기

Info

이 질문은 마감되었습니다. 편집하거나 답변을 올리려면 질문을 다시 여십시오.

Computing many probabilities without a for loop

조회 수: 1 (최근 30일)
Jeong Ho
Jeong Ho 2015년 3월 9일
마감: MATLAB Answer Bot 2021년 8월 20일
Hi, I have N X 2 matrix, mu, and N X 3 matrix, SIGMA, where mu(i,:) is a row vector of expectations for i-th bivariate normal distribution and SIGMA(i,:) is a row vector of elements of the covariance matrix for i-th bivariate normal distribution, i.e.,
[SIGMA(i,1) SIGMA(i,2); SIGMA(i,2) SIGMA(i,3)] is the covariance matrix of for i-th bivariate normal distribution,
and there are N bivariate normal distribution. For each i, I want to compute the probability of each bivariate normal random variable being positive, i.e.,
for i=1:N Y(i) = mvncdf([0 0],[Inf Inf],mu(i,2:3),[SIGMA(i,1) SIGMA(i,2); SIGMA(i,2) SIGMA(i,3)]); end
Is there any way to do this without the for loop? I have a large N and I want to circumvent using the for loop. I'd really appreciate your guidance. Thank you very much in advance!
Best, John

답변 (0개)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by