bbeloglikelihood: Calculate the log likelihood used in the Chib's (1995) log marginal density
Description
Calculates the log likelihood using the estimated bandwidths of the regressors and variance of the error density
Usage
bbeloglikelihood(data_x, data_y, x, sigma)
Arguments
data_x
Regressors
data_y
Response variable
x
Estimated bandwidths of the regressors, after MCMC iterations
sigma
Estimated variance of the error density, after MCMC iterations
Value
The value of log likelihood
Details
According to Chib (1995), the log marginal density = loglikelihood + logprior - logdensity
References
S. Chib (1995) Marginal likelihood from the Gibbs output, Journal of the American Statistical Association, 90, 432, 1313-1321.
M. A. Newton and A. E. Raftery (1994) Approximate Bayesian inference by the weighted likelihood bootstrap (with discussion), Journal of
the Royal Statistical Society, 56, 3-48.