Bayesian and frequentist approaches to inference or prediction are very different. How different? This simple example highlights the difference and the argument in favor of using Bayesian posterior probabilities.
Tag: posterior probability
Blog 20: I Am (Probably) Wrong, Maybe
A promising treatment for Covid-19 comes from a most unusual source - an anti-depressant treatment. Is the evidence compelling? What should we believe?
Blog 19: We Won’t Get Fooled Again, Again
Many clinician researchers are attempting to "repurpose" old treatments for COVID-19. How shold we evaluate purported positive findings in a small, but rigorous, clinical trial?
No. 8: Let’s Get Real – Bayes and Biomarkers
How do we know when an observed effect is real or spurious?
No. 7: What does p<0.05 mean anyway?
Some people say, "A p-value=0.05 is not very much evidence against the null hypothesis." Well then, how much evidence is it?
No. 5: pr(You’re Bayesian) > 0.50
For too long statisticians have been peddling pr(data|hypothesis) when scientists [indeed all of us] want pr(hypothesis|data).
analytixthinking.blog 