README
¶
8 schools problem
A random effects model. Taken from PyStan documentation. The problem appears in A. Gelman et al: Bayesian Data Analysis, section 5.5. It is concerned with an analysis of the effectiveness of classes that were designed to improve students’ performance on the Scholastic Aptitude Test.
In this version, we put uniform priors on tau and eta.
Documentation
¶
There is no documentation for this package.
Source Files
Directories
¶
| Path | Synopsis |
|---|---|
|
The eight schools example as appears in PyStan documentation (and taken from "Bayesian Data Analysis", Section 5.5 by Gelman et al.i): data { int<lower=0> J; // number of schools vector[J] y; // estimated treatment effects vector<lower=0>[J] sigma; // s.e.
|
The eight schools example as appears in PyStan documentation (and taken from "Bayesian Data Analysis", Section 5.5 by Gelman et al.i): data { int<lower=0> J; // number of schools vector[J] y; // estimated treatment effects vector<lower=0>[J] sigma; // s.e. |
Click to show internal directories.
Click to hide internal directories.