A closely related method is Pearson’s correlation coefficient, which also uses a regression line through the data points on a scatter plot to summarize the strength of an association between two ...

Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases Journal: PLOS Genetics Published: 2024-11-04 DOI: 10.1371/journal.pgen.1011463 Affiliations: 6 ...

Statistical decision theory: risk, decision rules, loss and utility functions, Bayesian expected loss, Frequentist risk. Bayesian Inference: Bayes theorem, prior, posterior and predictive ...

Mixture models and Clustering: Clustering, Mixtures, The EM algorithm. Sampling methods: Basic sampling algorithms, Markov chain Monte Carlo, Gibbs sampling Sequential data: Markov models, Hidden ...