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- intro
- Prosecutor's fallacy
- phylogenetic methods
- Bayesian inference
- Computational phylogenetics
- Maximum likelihood
- Maximum parsimony
- Neighbor-joining
- Quasi-maximum likelihood
- UPGMA
- markov and bayes
- Likelihood function
- Markov process
- Markov chain
- Markov chain Monte Carlo
- Monte Carlo method
- notes for study
- Algorithm
- Bayes' theorem
- Bias of an estimator
- Binomial distribution
- Conditional probability
- Covariance matrix
- Entropy
- Expected value
- Fisher information
- German tank problem
- Gibbs sampling
- Heuristic
- Integral
- Matrix
- NP-hard
- Outgroup
- Posterior probability
- Probability density function
- Probability distribution
- Range (mathematics)
- Statistical inference
- Tree (data structure)
- Programs and data standards
- Newick format
- PHYLIP