Updates probabilities for hypotheses using prior knowledge and observed data.
Posterior ∝ likelihood × prior. Gives probabilities of hypotheses and credible intervals. Useful for small samples and incorporating prior knowledge. Computation by MCMC.
Priors are explicit assumptions and can be tested for sensitivity. Posterior intervals have an intuitive meaning.
Key idea: Bayesian methods update belief as data accumulate.
Updates probabilities for hypotheses using prior knowledge and observed data.
Bayesian Statistics is one of the 51 topics in Lab Methods & Biostatistics. It is rated Advanced, so it suits learners who want specialist depth. Related topics in this area include Phylogenetic Statistics, Sampling, Reproducibility in Science.
Bayesian phylogenetics estimates tree posterior probabilities.
Work through the Beginner topics in Lab Methods & Biostatistics first, such as Scientific Method, Hypothesis, Variables, then return to Bayesian Statistics. Advanced topics assume the Intermediate vocabulary.
The closest topics to Bayesian Statistics are Phylogenetic Statistics, Sampling, Reproducibility in Science, Statistical Power. Comparing them side by side is a good way to see how the ideas connect.
Read the summary and the in-depth section, then use the quick check on the interactive lesson for Bayesian Statistics. To practise the whole of Lab Methods & Biostatistics, use the Lab Methods & Biostatistics quiz.
Bayesian Statistics: Updates probabilities for hypotheses using prior knowledge and observed data. Phylogenetic Statistics: Bootstrap and posterior probabilities measure confidence in the branches of evolutionary trees. Read both side by side and note what each one explains.
First, read the summary and write the definition in your own words. Second, read the in-depth section and note any example. Third, compare it with Phylogenetic Statistics and explain the difference aloud. Finally, take the Lab Methods & Biostatistics quiz and come back to this page for any question you miss.
Bootstrap and posterior probabilities measure confidence in the branches of evolutionary trees.
📊 Lab Methods & BiostatisticsSelecting a representative subset of a population to study using methods such as random quadrats.
📊 Lab Methods & BiostatisticsOpen data, preregistration and clear methods help others verify findings.
📊 Lab Methods & BiostatisticsThe probability of detecting a true effect, determined by sample size, effect size and variability.
📊 Lab Methods & Biostatistics