10 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
Algorithmic Information Forecastability
Glauco Amigo, Daniel Andrés Díaz-Pachón, Robert J. Marks +1
The outcome of all time series cannot be forecast, e.g. the flipping of a fair coin. Others, like the repeated {01} sequence {010101...} can be forecast exactly. Algorithmic inform…
Active information requirements for fixation on the Wright-Fisher model of population genetics
Daniel Andrés Díaz-Pachón, Robert J. Marks
In the context of population genetics, active information can be extended to measure the change of information of a given event (e.g., fixation of an allele) from a neutral model i…
Generalized active information: extensions to unbounded domains
Daniel Andrés Díaz-Pachón, Robert J. Marks
In the last three decades, several measures of complexity have been proposed. Up to this point, most of such measures have only been developed for finite spaces. In these scenarios…