Bayesian persuasion (Kamenica and Gentzkow 2011) refers to the optimal signalling of a Sender with informational advantage over the Receiver, under the constraint that the expected posterior (over the state space) equals the common prior. In the basic example of a judicial system with a prosecutor (Sender) and a judge (Receiver) who needs to convict or acquit a defendant, the mechanism of Bayesian persuasion entails the detriment of the third party (absent in the model): innocent subjects who get convicted suffer from this optimal signalling scheme. If the judge is concerned about errors of convicting innocent defendants, or about the overall sustainability of the judicial system, outcomes different from Kamenica and Gentzkow (2011) may ari...
Under the independence and competence assumptions of Condorcet’s classical jury model, the probabili...
We study a Bayesian persuasion model in which the state space is finite, the sender and the receiver...
We study the effect of noise due to exogenous information distortions in the context of Bayesian per...
When is it possible for one person to persuade another to change her action? We take a mechanism des...
In a world in which rational individuals may hold different prior beliefs, a sender can influence th...
An informed sender communicates with an uninformed receiver through a sequence of uninformed mediato...
This dissertation mainly focuses on situations in which a sender (e.g. an incumbent party) communica...
This dissertation mainly focuses on situations in which a sender (e.g. an incumbent party) communica...
In a world in which rational individuals may hold different prior beliefs, a sender can influence th...
We consider a dynamic model of Bayesian persuasion in which information takes time and is costly for...
A sender who chooses a signal to reveal to a receiver can often influence the receiver’s subsequent ...
Chapter 1 reviews the literature about the bayesian persuasion. It first describes two main approach...
Richard Posner famously modeled judges as Bayesians in his book, How Judges Think? A key element of ...
I describe a Bayesian persuasion problem where Receiver has a private type representing a cutoff for...
In the context of Bayesian Persuasion (Kamenica and Gentzkow in Am Econ Rev 101:2590-2615, 2011), ty...
Under the independence and competence assumptions of Condorcet’s classical jury model, the probabili...
We study a Bayesian persuasion model in which the state space is finite, the sender and the receiver...
We study the effect of noise due to exogenous information distortions in the context of Bayesian per...
When is it possible for one person to persuade another to change her action? We take a mechanism des...
In a world in which rational individuals may hold different prior beliefs, a sender can influence th...
An informed sender communicates with an uninformed receiver through a sequence of uninformed mediato...
This dissertation mainly focuses on situations in which a sender (e.g. an incumbent party) communica...
This dissertation mainly focuses on situations in which a sender (e.g. an incumbent party) communica...
In a world in which rational individuals may hold different prior beliefs, a sender can influence th...
We consider a dynamic model of Bayesian persuasion in which information takes time and is costly for...
A sender who chooses a signal to reveal to a receiver can often influence the receiver’s subsequent ...
Chapter 1 reviews the literature about the bayesian persuasion. It first describes two main approach...
Richard Posner famously modeled judges as Bayesians in his book, How Judges Think? A key element of ...
I describe a Bayesian persuasion problem where Receiver has a private type representing a cutoff for...
In the context of Bayesian Persuasion (Kamenica and Gentzkow in Am Econ Rev 101:2590-2615, 2011), ty...
Under the independence and competence assumptions of Condorcet’s classical jury model, the probabili...
We study a Bayesian persuasion model in which the state space is finite, the sender and the receiver...
We study the effect of noise due to exogenous information distortions in the context of Bayesian per...