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Found 2 papers, 1 papers with code
Likelihood-based inference and forecasting for trawl processes: a stochastic optimization approach
In this paper, we develop the first likelihood-based methodology for the inference of real-valued trawl processes and introduce novel deterministic and probabilistic forecasting methods.
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
The behaviour of multi-agent learning in many player games has been shown to display complex dynamics outside of restrictive examples such as network zero-sum games.
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