Bayesian Mann Whitney U and number of samples
Recently I perform a Bayesian Mann Whitney U test to compare to independent groups. I also checked the document "Bayesian Inference in JASP: a guide for students and I used the number of samples/ iterations from 10000. I would like to ask whether it is better to use 1000 as it is default or better increase to 10000. Thank you
Comments
More samples yield more reliable results, but at a computational cost. This balancing act is yours to make as it will depend on a number of person-specific considerations.
EJ