How to generate binomial data with set probability and covariation
6 views (last 30 days)
Show older comments
Hello Everybody,
Im having a question regarding a data simulation problem that Im having. I have neuronal network data where each neuron has a set firing probability per event (for instance p1 = 0.2 but p2 = 0.3). In addition some neurons are more likely to fire together then others so they have a set correlation or covariation. How can I generate random events where the results will (loosely) fit the previously observed propability distribution and covariation matrix?
I see that mvnrnd can generate such data with a normal distribution but I need binomial output (All-or-none firing). Does anybody know how to accomplish this? Really any suggestions will be helpfull!
Thank you in advance!
0 Comments
Answers (1)
Alberto
on 15 Apr 2014
You can generate values uniformily on [0,1], lets suppose you want to generate 100 random binomial numbers:
N=100;
x=rand(1,N);
lets suppose your 'success' probability es p=0.7:
p=0.7;
So, your binomial sample of 1 or 0 are:
bin= x>p;
But if you are interested in multivariates samples with a given correlation, you need copulas and copularnd command.
0 Comments
See Also
Categories
Find more on Probability Distributions in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!