bayesian analysis

  1. D

    Demonstrating that MAP -> MLE, Bayes

    Note - I can't work out how to write in LaTeX on here, and ascii maths can be quite painful, as a result I have included the LaTeX in this post and provided links where the LaTeX can be read rendered. Also, any answers that make use of R software are fine, I don't have access to anything such...
  2. M

    Few Continuous data irregularly dispersed over geographic range

    Hi everyone I have e little dataset of biological data (concentrations) collected over a geographic range of 1000 km grouped in 4 spots (ca. 100 km each). Given the tiny sample (2*25 samples corresponding to two different time periods), I thought about Bayesian methods and a MCMC approach in...
  3. U

    Bayes Nordics - a list for the Bayesian community in the European Nordic countries

    Bayes Nordics is a list serving the Bayesian community in the European Nordic countries. Bayes Nordics disseminates news on events related to Bayesian analysis: workshops, conferences, seminars, job openings and courses related to Bayesian reasoning, methods, practice and computation, with...
  4. N

    Posterior of a Lognormal Shape Parameter, in Terms of Prior Location & Shape

    I am setting up a Bayesian analysis using a lognormal distribution with skewed data. I want to estimate the "standard deviations" of samples taken from different bins, where sample-sizes available from some bins are very large, and others are very small. I have reliable prior information...
  5. I

    Analysing Limited Data

    Help! For my thesis I involuntary have a small dataset due to a limited population. I was thinking about analysing this data with the statistical model ANOVA, using non-parametric tests or Bayesian statistics. What do you think works best? Or are there any other methods/models/tests I can use...
  6. I

    Bayesian analysis of logistic dependent variable, with between and within subjects in

    I have a dataset consisting of two groups of participants (25 participants in one group and 26 in the other), with each participating in two conditions, and resulting a single binary outcome for each condition. I'm trying to analyze this model using JAGS, by combining some of Kruschke's...