Stochastic calculus is like ordinary calculus in that it is most useful when one time is like another except for a few variables that describe a state, and leas

Stochastic calculus is like ordinary calculus in that it is most useful when one time is like another except for a few variables that describe a state, and least useful when one time is unlike another. Because you have as many questions (loci) as you have segments that you can reasonably expect to divide time into (changing the time of death by 1/50th of a mouse lifespan would be impossible to detect unless I am wrong?), and because the time intervals are not that numerous, and also because you wouldn't really have a model for the interaction of the state variables and would be using model-free statistical methods, I think you would get all of the value there is to get out of noncontinuous methods.