view release on metacpan or  search on metacpan

lib/Algorithm/RandomPointGenerator.pm  view on Meta::CPAN

The Metropolis-Hastings algorithm belongs to a category of algorithms known as
random-walk algorithms. Since the random walk carried out by such algorithms must be
initialized with user input, it is necessary to discard the points produced until the
effects the initial state have died out.  This parameter specifies how many of the
generated points will be discarded.  This parameter is optional in the sense that it
has a default value of 500.

=item C<proposal_density_width>:

Given the current point, the Metropolis-Hastings randomly chooses a candidate for the
next point.  This random selection of a candidate point is carried out using what is
known as the "proposal density".  The module uses a bivariate Gaussian for the
proposal density.  The value supplied through this parameter controls the standard
deviations of the proposal Gaussian in the x and the y directions.  The default value
for this parameter is 0.1.  With that value for the parameter, the standard deviation
of the proposal density along the x direction will be set to 0.1 times the width of
the bounding box, and the standard deviation of the same along the y-direction to 0.1
times the height of the bounding box.

=item C<y_axis_pos_direction>: