Description
The Metropolis algorithm.
Description
The classic Metropolis algorithm.
Wander around parameter space according to a simple spherical Gaussian distribution.
Exports a mcmc
function that prints a trace to stdout, a chain
function for collecting results in-memory, and a metropolis
transition operator that can be used more generally.
import Numeric.MCMC.Metropolis
rosenbrock :: [Double] -> Double
rosenbrock [x0, x1] = negate (5 *(x1 - x0 ^ 2) ^ 2 + 0.05 * (1 - x0) ^ 2)
main :: IO ()
main = withSystemRandom . asGenIO $ mcmc 10000 1 [0, 0] rosenbrock