The paper introduces a moment-matching algorithm to quantify approximation error in sampling random measures.
problem Approximation error in sampling random measures from Ferguson and Klass representation.
method Moment-matching criterion to evaluate discrepancy between actual and simulated moments.
result Determines optimal truncation level for precision in sampling.