sumising

This function implements a path sampling approximation of the 
normalising constant of an Ising model with a four neighbour relation.

Ising model

path sampling

Allows the reenactment of the R programs used in
the book Bayesian Essentials with R without further programming.
R code being available as well, they can be modified by the user
to conduct one's own simulations.
Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.

JeanMichel Marin

bayess

Bayesian Essentials with R

sumising function

<dl> <dt>niter</dt>
<dd>number of iterations</dd> <dt>numb</dt>
<dd>size of the square grid for the Ising model</dd> <dt>beta</dt>
<dd>Ising model parameter</dd></dl>

Arguments

Approximation by path sampling of the normalising constant 
for the Ising model — sumising

<dl>

 <dt>niter</dt>
<dd>number of iterations</dd>

 <dt>numb</dt>
<dd>size of the square grid for the Ising model</dd>

 <dt>beta</dt>
<dd>Ising model parameter</dd>

</dl>

sumising: Approximation by path sampling of the normalising constant for the Ising model

Description

Usage

Value

Arguments

See Also

Examples