pottsgibbs {bayess} | R Documentation |
Gibbs sampler for the Potts model
Description
This function produces one simulation of a square numb
by numb
grid
from a Potts distribution with four colours and a four neighbour
structure, relying on niter
iterations of a standard Gibbs sampler.
Usage
pottsgibbs(niter, numb, beta)
Arguments
niter |
number of Gibbs iterations |
numb |
size of the square grid |
beta |
parameter of the Potts model |
Value
returns a random realisation from the Potts model
References
Geman, S. and Geman, D. (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell., 6, 721–741.
See Also
Examples
ex=pottsgibbs(100,15,.4)
image(ex)
[Package bayess version 1.6 Index]