Mauch MIREX 2010

function L = log_marg_prob_node_case(CPD, y, x)

% LOG_MARG_PROB_NODE_CASE Compute prod_m log P(x(i,m)| x(pi_i,m)) for node i (tabular)

% L = log_marg_prob_node_case(CPD, self_ev, parent_ev)

% 

% This is a slightly optimised version of log_marg_prob_node.

% We assume we have exactly 1 case, i.e., y is a scalar and x is a vector (not a cell array).

sz = CPD.sizes;

nparents = length(sz)-1;

% We assume the CPTs are already set to the mean of the posterior (due to update_params)

switch nparents

 case 0, p = CPD.CPT(y);

 case 1, p = CPD.CPT(x(1), y);

 case 2, p = CPD.CPT(x(1), x(2), y);

 case 3, p = CPD.CPT(x(1), x(2), x(3), y);

 otherwise,

  ind = subv2ind(sz, [x y]);

  p = CPD.CPT(ind);

end

L = log(p);