How to generate binomial data with set probability and covariation
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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 commentaires
Réponses (1)
Alberto
le 15 Avr 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 commentaires
Voir également
Catégories
En savoir plus sur Probability Distributions dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!