®γσ Lian Hu, ENG englianhu

## index.html
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<html>
  <head>
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## index.html
<!doctype HTML>
<html>
  <head>
    <link rel='stylesheet' href='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.css'>

    <script src='//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js' type='text/javascript'></script>
    <script src='//d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.js' type='text/javascript'></script>
    <script src='//nvd3.org/assets/lib/fisheye.js' type='text/javascript'></script>


## index.html
<!doctype HTML>
<html>
  <head>
    <link rel='stylesheet' href='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.css'>

    <script src='//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js' type='text/javascript'></script>
    <script src='//d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='//cdnjs.cloudflare.com/ajax/libs/nvd3/1.1.15-beta/nv.d3.min.js' type='text/javascript'></script>
    <script src='//nvd3.org/assets/lib/fisheye.js' type='text/javascript'></script>


## bivar_pois.R
## Simple bivariate Poisson model in stan
## following parameterization in Karlis and Ntzoufras 2003
## Simulate data
n <- 50

# indpendent Poisson components
theta <- c(2, 3, 1)

X_i <- array(dim=c(n, 3))
for (i in 1:3){