Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in the brain, or the spread of infectious diseases. Petar Jovanovski’s Ph.D. thesis focuses on these systems, which evolve in ways that are partly random. Jovanovski will defend his PhD thesis “Simulation-based parameter inference methods based on data-conditional simulation of stochastic dynamical systems” on September 19.
Researchers develop data-guided simulations for more accurate modeling of random systems
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