I’m trying to arrive at the function that describes the following, but can’t quite figure it out for multiple blocks. (there are some useful insights for a single block here.)
assume the Poisson point process that is the arrival of proof-of-work blocks on Monero. the mean of the block times is the target block time t
(120 seconds).
also assume n
subsequent blocks.
also assume p
, the probability of n
subsequent blocks having a mean block time less than or equal to T
.
given t
, n
and p
, how can I calculate T
?
Beautiful, love to see R code to answer a statistical question, the world is still in order