Posterior ∝ Prior × Likelihood (Bayes' rule): updating subjective belief over parameters θ given data x. Conjugate priors, MCMC, and variational inference are the main computational tools.
Bayesian inference
Related concepts
- Bayes' theorem
- Probability measure P
- Maximum likelihood estimation
- Variational autoencoder for physics
- Chemical potential & equilibrium
- Marcus theory of electron transfer
- Integrated pest management (IPM)
- Magnesium-RNA folding
- Flavour & volatile chemistry
- Structure-based drug design & docking
- AI-driven flow self-optimisation
- Parental conflict genomic imprinting (Haig)
- Signal detection theory & ROC
- Hamilton's rule kin selection
- Cryo-EM Bayesian 3D reconstruction (RELION)
- CRISPR screen MAGeCK statistics
- Cis-regulatory element evolution (Stern-Wittkopp)
- Xenotransplant (genetically-modified pig)
- Predictive coding (Rao-Ballard)
- Free-energy / active inference (Friston)