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math.OC2026
Value of Information in Dynamic Decision Making
Dimitry Shaiderman, Eilon Solan
We study the value of information in predicting the evolving state of a finite Markov chain. At each stage, a decision maker chooses a state and observes only whether the current s…
math.OC2025
On the Monotonicity and Rate of Convergence of the Markovian Persuasion Value
Dimitry Shaiderman
We study a dynamic Bayesian persuasion model called Markovian persuasion. In such a model, the belief of the receiver regarding the current state of a Markov chain $(X_n)_{n\geq 1}…