Bioinformatics
Bayesian inference is a statistical method that applies Bayes' theorem to update the probability for a hypothesis as more evidence or information becomes available. This approach allows researchers to incorporate prior knowledge along with new data, making it a powerful tool in areas such as phylogenetics and evolutionary biology. By combining prior distributions with likelihoods from observed data, Bayesian methods help in estimating parameters and making predictions about evolutionary relationships, timing, and genomic features.
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