|Abstract: ||A computer-implemented method of enhancing a computer to estimate an
uncertainty of an onset of a signal of interest in time-series noisy
data. A first mathematical model of first time series data that contains
only noise is calculated. A second mathematical model of second time
series data that contains the noise and an onset of a signal of interest
in the second time series data is calculated. A difference is evaluated
between a first combination, being the first mathematical model and the
second mathematical model, and a second combination, being the first time
series data and the second time series data, wherein evaluating is
performed using a generalized entropy metric. A specific time when an
onset of the signal of interest occurs is estimated from the difference.
An "a posteriori" distribution is derived for an uncertainty of the
specific time at which the onset occurs.