Posts Tagged ‘Bayesian analysis’

Why should I be Bayesian when my model is wrong?

May 9, 2017

Excellent discussion and some nice references about Bayesian modelling in the context of model misspecification 


Bayesian linear regression analysis without tears (R)

November 17, 2013

Bayesian methods are sure to get some publicity after Vale Johnson’s PNAS paper regarding the use of Bayesian approaches to recalibrate p-value cutoffs from 0.05 to 0.005. Though the paper itself is bound to get some heat (see the discussion in Andrew Gelman’s blog and Matt Briggs’s fun-to-read deconstruction), the controversy might stimulate people to explore Bayesianism and (hopefully!) to move away from frequentist analyses. (more…)