Mathur, AnupAbrams, Marc2013-06-192013-06-191995-10-01http://hdl.handle.net/10919/19901This paper introduces a novel technique to construct an empirical model fitting time-varying (transient) trace data. The trace is a categorical or numerical time-series. The modeling technique described in this paper first builds a Mass Evolution Graph (MEG) from the trace data. Linear regression is then used to construct a time-dependent probability mass function (pmf) for each state in the trace data.application/postscriptenIn CopyrightTime Dependent Rate-Based Modeling for Trace DataTechnical reportTR-95-19http://eprints.cs.vt.edu/archive/00000434/01/TR-95-19.ps