# bayesian

1. ### A bayesian statistics question

I have a question im trying to work through, but im not too sure how to start it off. the question is related to scientists studying populations of fish by tagging them. We are told that the scientists believe that they have tagged no more than 20% of the entire population, but that it is much...
2. ### A probability question

I am trying to revise for a test, and am working through some prep questions. I am struggling on this one, could anyone help? Suppose there is a medical diagnostic test for a disease. The sensitivity of the test is .95. This means that if a person has the disease, the probability that the...
3. ### [Winbugs] - Help with code for Multinomial Logit in Winbugs

Hi all, I'm taking a maymester Bayes course right now and am having a hard time with running a multinomial logit model. My data is from 2005. Independents are: car type, urban residence, being married, being black, being female, age, and education. The dependent variable is a categorical...
4. ### Bayesian: Defining priors from *same* data set you're modeling

I believe that it is inappropriate to define prior distributions based on the same data you will be analyzing with those priors. In other words, the priors should not come from the **same** data set (i.e., from descriptive stats, etc) that you are about to estimate a model for. Does anyone...
5. ### Deriving posterior probability from frequencies

I'm working through an introductory Bayesian stats text: Doing Bayesian Analysis. Having been away from stats for a while and having never working from a Bayesian framework it's a bit challenging. Right now I'm stumbling on a problem about deriving a posterior probability from a small amount of...
6. ### Bayesians/Frequentist

Hi All, I would like know how many of you are working in Bayesian inference. I considered bayesian is an opportunistic philosophy till few months ago. But now I am interested bayesian and doing some stuff using MCMC magic. I found there a lot of technical problem to discuss in Bayesian...