activity
20192026
most citedCharacterisation of exchangeable sequences through empirical distributions

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 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…

econ.TH2022

Markovian Persuasion with Stochastic Revelations

Ehud Lehrer, Dimitry Shaiderman

In the classical Bayesian persuasion model an informed player and an uninformed one engage in a static interaction. The informed player, the sender, knows the state of nature, whil…

econ.TH2021

Markovian Persuasion

Ehud Lehrer, Dimitry Shaiderman

In the classical Bayesian persuasion model an informed player and an uninformed one engage in a static interaction. The informed player, the sender, knows the state of nature, whil…

math.PR2019★ 3 cited

Characterisation of exchangeable sequences through empirical distributions

Martin Bladt, Dimitry Shaiderman

It is a well-known fact that an exchangeable sequence has empirical distributions that form a reverse-martingale. This paper is devoted to proof of the converse statement. As a byp…