r - Understanding Bayesian model outputs - Cross Validated
Sep 3, 2025 · In a Bayesian framework, we consider parameters to be random variables. The posterior distribution of the parameter is a probability distribution of the parameter given the …
What exactly is a Bayesian model? - Cross Validated
Dec 14, 2014 · Can I call a model wherein Bayes' Theorem is used a "Bayesian model"? I am afraid such a definition might be too broad. So what exactly is a Bayesian model?
When are Bayesian methods preferable to Frequentist?
The Bayesian, on the other hand, think that we start with some assumption about the parameters (even if unknowingly) and use the data to refine our opinion about those parameters. Both are …
Posterior Predictive Distributions in Bayesian Statistics
Feb 17, 2021 · Confessions of a moderate Bayesian, part 4 Bayesian statistics by and for non-statisticians Read part 1: How to Get Started with Bayesian Statistics Read part 2: Frequentist …
bayesian - Gaussian mixture as a prior of gaussian - Cross Validated
Aug 3, 2018 · I'm curious what would be the posterior distribution having prior dstribution as a mixture of two guassian with the likelihood dist as a gaussian. In other words ...
Newest 'bayesian' Questions - Cross Validated
3 days ago · Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective …
bayesian - Understanding the Bayes risk - Cross Validated
Oct 15, 2017 · When evaluating an estimator, the two probably most common used criteria are the maximum risk and the Bayes risk. My question refers to the latter one: The bayes risk …
bayesian - Flat, conjugate, and hyper- priors. What are they?
I am currently reading about Bayesian Methods in Computation Molecular Evolution by Yang. In section 5.2 it talks about priors, and specifically Non-informative/flat/vague/diffuse, conjugate, …
What is the best introductory Bayesian statistics textbook?
Which is the best introductory textbook for Bayesian statistics? One book per answer, please.
bayesian - What's a good prior distribution for degrees of …
I want to use a t distribution to model short interval asset returns in a bayesian model. I'd like to estimate both the degrees of freedom (along with other parameters in my model) for the …