MATLAB: How to create a random Bernoulli matrix

bernoullimatrixrandom

I want to create a 256×256 random Bernoulli matrix, how to do that in matlab ?

Best Answer

p=0.5;        %probability of success
n=256;
A=rand(n);
A=(A<p)

p=0.5;
A=(rand(256)<p)

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MATLAB: Random numbers from custom mixture distribution

Here's another method you might consider that would allow you to directly use the 'gamrnd' and 'lognrnd' functions in the Statistics Toolbox. Suppose you want an m by n matrix, R, of random values in accordance with your mixed distribution.

 U = rand(m,n)<=p; % U is true with probability p and false with probability 1-p
 R = U.*gamrnd(a,b,m,n)+(1-U).*lognrnd(mu,sigma,m,n);

R should have the desired distribution.

MATLAB: How to create two independent Normal distribution

You basically can generate multiple independent normal random variables form a multivariate normal dist. You just need to define var-covar matrix properly. So, to generate two iid vectors, you can generate them from a bivariate normal dist:

mu = [0 0];
Sigma = [1 0; 0 1]; % set off diagonals to zero
X = mvnrnd(mu, Sigma, 1e5);
% visual examination
histogram2(X(:,1), X(:,2))

% are they really independent?
histogram(sum(X, 2))

Best Answer

Related Solutions

MATLAB: Random numbers from custom mixture distribution

MATLAB: How to create two independent Normal distribution

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