1 citations · 1 across the 3 of their papers we have counts for
3 papers
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}…
cs.GT2024★ 1 cited
Persuading while Learning
Itai Arieli, Yakov Babichenko, Dimitry Shaiderman +1
We propose a dynamic product adoption persuasion model involving an impatient partially informed sender who gradually learns the state. In this model, the sender gathers informatio…