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1
Introduction
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Kavita Ramanan
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About this talk
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Discrete time contact process
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continuous time models
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voter model
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spike train model
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neuronal hox model
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coupled oscillators
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stochastic processes evolving
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questions of interest
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classical limit theorems
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weak convergence
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empirical measures
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Wiener measure
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Weak interactions
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Dense graphs
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Sparse regime
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Challenges in sparse regime
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Local convergence
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Counterexamples
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Autonomous characterization
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Unimodular roots
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Discrete time process
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Goal
Description:
Explore interacting stochastic processes on random graphs in this AAAS-AMS Invited Address from the 2022 Virtual Joint Mathematics Meetings. Delve into discrete time contact processes, continuous time models, voter models, and spike train models. Examine neuronal hox models, coupled oscillators, and the evolution of stochastic processes. Investigate classical limit theorems, weak convergence, empirical measures, and Wiener measure. Analyze weak interactions in dense graphs and sparse regimes, addressing challenges and counterexamples. Study local convergence, autonomous characterization, and unimodular roots in discrete time processes.

Interacting Stochastic Processes on Random Graphs

Joint Mathematics Meetings
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