  Estimating the dissipation, or the entropy production rate (EPR), can provide
insights into the underlying mechanisms of nonequilibrium driven processes.
Experimentally, however, only partial information can be accessed, and the
ability to estimate the EPR varies depending on the available data. Here, we
test different degrees of observed information stemming from coarse-grained
time-series trajectory data, and apply several EPR estimators. Given increasing
amount of information, we show a hierarchy of lower bounds on the total EPR.
Further, we present a novel approach for utilizing waiting times in hidden
states to provide a tighter lower bound on the total EPR.
