9.66J | Fall 2004 | Undergraduate

Computational Cognitive Science

Lecture Notes

oct_14_2004_fin.pdf

Description:

This file explains Bayesian parameter estimation, hierarchical Bayesian models, and metropolis-Hastings, a more general approach to MCMC.

Resource Type:
Lecture Notes
pdf
477 kB
oct_14_2004_fin.pdf