The conditional Gauss-Hermite filter(CGHF) utilizes a decomposition of the filter density p(y1,y2) into the product of the conditional density p(y1Iy2) with the P(y2) where the state vector y is partitioned into (y1,y2). In contrast the usual Gauss-Hermite filter (GHF) it is assumed that the...

We represent knowledge by probability distributions of mixed continuousand discrete variables. From the joint distribution of all items,one can compute arbitrary conditional distributions, which may beused for prediction. However, in many cases only some marginaldistributions, inverse...