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1 - 1 of 1 results for: BIO 330: Stochastic Methods for Simulation, Dynamics and Data Analysis

BIO 330: Stochastic Methods for Simulation, Dynamics and Data Analysis

Markov chains: ergodicity, CLT, passage times, absorption. Simulation: random numbers, chains. Poisson processes: applications and simulation. Time series models. MCMC essentials. Open to Ph.D. students in Biology. Prerequisites: Calculus (AP level) and basic linear algebra required. Facility with linear algebra, R, preferred.
Terms: Win | Units: 1 | Grading: Satisfactory/No Credit
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