wolffd@0: function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv)
wolffd@0: % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node.
wolffd@0: % function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, idden_bitv)
wolffd@0: %
wolffd@0: % we assume if one of the Qps is observed, all of them are 
wolffd@0: % We assume the F nodes are already hidden 
wolffd@0: 
wolffd@0: % Figure out the node numbers associated with each parent
wolffd@0: dom = fmarginal.domain;
wolffd@0: self = dom(end);
wolffd@0: old_self = dom(CPD.old_self_ndx);
wolffd@0: %Fself = dom(CPD.Fself_ndx);
wolffd@0: %Fbelow = dom(CPD.Fbelow_ndx);
wolffd@0: Qps = dom(CPD.Qps_ndx);
wolffd@0: 
wolffd@0: Qsz = CPD.Qsz;
wolffd@0: Qpsz = CPD.Qpsz;
wolffd@0: 
wolffd@0: 
wolffd@0: % hor_counts(old_self, Qps, self),
wolffd@0: % fmarginal(old_self, Fbelow, Fself, Qps, self)
wolffd@0: % hor_counts(i,k,j) = fmarginal(i,2,1,k,j) % below has finished, self has not
wolffd@0: % ver_counts(i,k,j) = fmarginal(i,2,2,k,j) % below has finished, and so has self (reset)
wolffd@0: % Since any of i,j,k may be observed, we write
wolffd@0: % hor_counts(i_counts_ndx, kndx, jndx) = fmarginal(i_fmarg_ndx...)
wolffd@0: % where i_fmarg_ndx = 1 and i_counts_ndx = i if old_self is observed to have value i,
wolffd@0: % i_fmarg_ndx = 1:Qsz and i_counts_ndx = 1:Qsz if old_self is hidden, etc.
wolffd@0: 
wolffd@0: 
wolffd@0: if hidden_bitv(old_self)
wolffd@0:   i_counts_ndx = 1:Qsz;
wolffd@0:   eff_oldQsz = Qsz;
wolffd@0: else
wolffd@0:   i_counts_ndx = evidence{old_self};
wolffd@0:   eff_oldQsz = 1;
wolffd@0: end
wolffd@0: 
wolffd@0: if all(hidden_bitv(Qps)) % we assume all are hidden or all are observed
wolffd@0:   k_counts_ndx = 1:Qpsz;
wolffd@0:   eff_Qpsz = Qpsz;
wolffd@0: else
wolffd@0:   k_counts_ndx = subv2ind(Qpsz, cat(1, evidence{Qps}));
wolffd@0:   eff_Qpsz = 1;
wolffd@0: end
wolffd@0: 
wolffd@0: if hidden_bitv(self)
wolffd@0:   j_counts_ndx = 1:Qsz;
wolffd@0:   eff_Qsz = Qsz;
wolffd@0: else
wolffd@0:   j_counts_ndx = evidence{self};
wolffd@0:   eff_Qsz = 1;
wolffd@0: end
wolffd@0: 
wolffd@0: hor_counts = zeros(Qsz, Qpsz, Qsz);
wolffd@0: ver_counts = zeros(Qpsz, Qsz);
wolffd@0:     
wolffd@0: if ~isempty(CPD.Fbelow_ndx)
wolffd@0:   if ~isempty(CPD.Fself_ndx) % general case
wolffd@0:     fmarg = myreshape(fmarginal.T, [eff_oldQsz 2 2 eff_Qpsz eff_Qsz]);
wolffd@0:     hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) =  fmarg(:, 2, 1, :, :);
wolffd@0:     ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Fbelow and Qold
wolffd@0: 	sumv(fmarg(:, :,  2, :, :), [1 2]); % require Fself=2
wolffd@0:   else % no F from self, hence no startprob
wolffd@0:     fmarg = myreshape(fmarginal.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]);
wolffd@0:     hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) = ...
wolffd@0: 	fmarg(:, 2, :, :); % require Fbelow = 2
wolffd@0:   end
wolffd@0: else % no F signal from below
wolffd@0:   if ~isempty(CPD.Fself_ndx) % self F
wolffd@0:     fmarg = myreshape(fmarginal.T, [eff_oldQsz 2 eff_Qpsz eff_Qsz]);
wolffd@0:     hor_counts(i_counts_ndx, k_counts_ndx, j_counts_ndx) =  fmarg(:, 1, :, :);
wolffd@0:     ver_counts(k_counts_ndx, j_counts_ndx) = ... % sum over Qold
wolffd@0: 	squeeze(sum(fmarg(:, 2, :, :), 1)); % Fself=2
wolffd@0:   else % no F from self
wolffd@0:     error('An hhmmQ node without any F parents is just a tabular_CPD')
wolffd@0:   end
wolffd@0: end
wolffd@0: 
wolffd@0: 
wolffd@0: CPD.sub_CPD_trans = update_ess_simple(CPD.sub_CPD_trans, hor_counts);
wolffd@0: 
wolffd@0: if ~isempty(CPD.sub_CPD_start)
wolffd@0:   CPD.sub_CPD_start = update_ess_simple(CPD.sub_CPD_start, ver_counts);
wolffd@0: end
wolffd@0: 
wolffd@0: