bayesian analysis

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    Correction for multiple bayesian test (a lot of...)

    Hello, I will start by saying that I am novice in Bayesian statistics, so I am really sorry if I mixed up some notion. I’m currently doing a research on the effect of heat on some bone microstructure. I want to test if there is any difference on the size of structure when exposed to heat. I have...
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    Is a bayesian MCMC regression approach suitable/recommended for this complex model?

    Hi everyone. I'm trying to reanalyze the data of an experiment I did using a bayesian approach, but the complexity of the problem has me stuck. I read Richard McElreath's "Statistical Rethinking" (2nd ed.) for useful insight and I think I'm conceptually 80% of the way there, but I could use some...
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    Can you directly compare the BFinclusion values for two different predictors in a Bayesian Linear Regression?

    I am completing a Bayesian Linear Regression in JASP in which I am trying to see whether two key variables (IVs) predict mean accuracy on a task (DV). When I complete the analysis, for Variable 1 there is a BFinclusion value of 20.802, and for Variable 2 there is a BFinclusion value of 1.271...
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    Using Bayesian statistics to improve classification task

    I have a question regarding a classification problem that I think it can be addressed using Bayesian statistics, but I am not familiar with Bayesian statistics and it would be great to get some support. Suppose a traditional medical test says that the probability of a random sample of patients...
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    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...
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    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...
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    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...
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    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...
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    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...
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    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...