Prof Hui and co-researchers are now working on expanding the platform to allow the differentiation of
system stochasticity and external noise in driving portfolio inflation.
Not exact matches
If the target ratio for a mix of cells becomes more complex, where the denominator in the fraction is higher, it would become more difficult for a deterministic
system to be successful; this is where
stochasticity lends itself as an alternative.
The chaotic property means that it would not be predictable even without any later perturbations, but the
stochasticity means that new perturbations enter all the time from external sources (the
system considered is not the whole universe).
When the
system is complex and has also a lot of
stochasticity, the attractors tend to smoothen out, but something similar may remain.
It turns out that they are discussing tipping points in a dissipative
system, i.e. chaotic behavior has little or no role in the considerations while
stochasticity is essential.