Based on this characterization we study informational cascades and show that they happen with high probability for a large number of players. Furthermore, only ...

Abstract—We consider an environment where many players need to decide whether to buy a certain product (or adopt a trend) or not. The product is either good ...

This work provides a characterization of structured perfect Bayesian equilibria (PBE) with non-myopic strategies through a fixed-point equation of ...

May 29, 2019 · Based on this characterization we study informational cascades and show that they happen with high probability for a large number of players.

Characterizing Non-Myopic Information Cascades in Bayesian Learning ... To read the full-text of this research, you can request a copy directly from the authors.

Jul 10, 2018 · This generalizes the sequential Bayesian learning to a setting with non-myopic players and no predefined order of play. Sequential learning ...

Based on this characterization we study informational cascades and show that they happen with high probability for a large number of players. Furthermore, only ...

Dive into the research topics of 'Characterizing Non-Myopic Information Cascades in Bayesian Learning'. Together they form a unique fingerprint. Bayesian ...

We consider an environment where a finite number of players need to decide whether to buy a certain product (or adopt a trend) or not.

Based on this characterization we study informational cascades and show that they happen with high probability for a large number of players. Furthermore, only ...