Category Archives: Daniel Gillespie

Vanilla C code for the Stochastic Simulation Algorithm

The Gillespie stochastic simulation algorithm (SSA) is the gold standard for simulating state-based stochastic models. If you are a R buff, a SSA novice and want to get quickly up and running stochastic models (in particular ecological models) that are not … Continue reading

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A brief history of SSA implementations

Ever since Gillespie blessed the world by giving us the SSA (Stochastic Simulation Algorithm) there has been countless attempts to improve its computational efficiency. A few of these algorithms are exact, just like Gillespie’s SSA, (exact SSAs simulate every reactive … Continue reading

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Adaptive tau-leaping in SSA

Just a brief update on my activities 11 days before the R package GillespieSSA is to be released. I have been hacking away on the code, debugging, and running test simulations like there is no tomorrow. The last SSA implementation … Continue reading

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Stochastic simulation in the 1970s

I was re-reading Gillespie’s seminal 1977 paper Exact stochastic simulation of coupled chemical reactions today. Although it’s been around for 30 years now it is even more pertinent today when computer simulations are ubiquitous than in the era when it … Continue reading

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