Which to use at which concentration scale?
in small volumens/concentrations, random effects have a much higher impact and events are statistically less evenly ditributed
Name pros and cons of stochastic models.
Pros
outputs resemble real experiment
reflect randomness in events
estimate uncertainty
Cons
more complex
What is the Monte Carlo method?
repeatedly sampling to obtain numerical results
What is the Markov process?
future states depend on only current state, not past states
can be fully specified by initial probability distribution and probability transition
What are the features of state-based models?
consists of possible states and transition between states
no space resolution
discrete events
state of each individual entity according to transition rate r -> P = r * dt
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