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Bayesian persuasion [PDF]

open access: yes, 2021
This dissertation mainly focuses on situations in which a sender (e.g. an incumbent party) communicates with multiple receivers (e.g. voters) in order to persuade them to vote in favour of a proposal. We focus on the sender’s perspective and analyse how the sender can increase the probability of implementing the proposal.
openaire   +1 more source

Prophet Inequalities for Bayesian Persuasion [PDF]

open access: yesProceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
We study an information-structure design problem (i.e., a Bayesian persuasion problem) in an online scenario. Inspired by the classic gambler's problem, consider a set of candidates who arrive sequentially and are evaluated by one agent (the sender). This agent learns the value from hiring the candidate to herself as well as the value to another agent,
Niklas Hahn 0001   +2 more
openaire   +2 more sources

Bayesian persuasion with heterogeneous priors [PDF]

open access: yesJournal of Economic Theory, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ricardo Alonso, Odilon Câmara
openaire   +1 more source

Approximate Bayesian Inference Based on Expected Evaluations [PDF]

open access: yes, 2023
Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable.
Hammer, Hugo Lewi, Riegler, Michael
core  

Approximate Bayesian inference for doubly robust estimation [PDF]

open access: yes, 2015
Doubly robust estimators are typically constructed by combining outcome regression and propensity score models to satisfy moment restrictions that ensure consistent estimation of causal quantities provided at least one of the component models is ...
McCoy, EJ, Graham, DJ, Stephens, DA
core   +1 more source

Dynamic Pricing and Learning with Bayesian Persuasion

open access: yesNeural Information Processing Systems, 2023
We consider a novel dynamic pricing and learning setting where in addition to setting prices of products in sequential rounds, the seller also ex-ante commits to ‘advertising schemes’.
Shipra Agrawal, Yiding Feng, Wei Tang
semanticscholar   +1 more source

Bayesian Persuasion with Externalities: Exploiting Agent Types

open access: yesAAAI Conference on Artificial Intelligence
We study a Bayesian persuasion problem with externalities. In this model, a principal sends signals to inform multiple agents about the state of the world. Simultaneously, due to the existence of externalities in the agents' utilities, the principal also
Jonathan Shaki, Jia-Rui Gan, Sarit Kraus
semanticscholar   +2 more sources

Bayesian Solution Uncertainty Quantification for Differential Equations [PDF]

open access: yes, 2016
We explore probability modelling of discretization uncertainty for system states defined implicitly by ordinary or partial differential equations. Accounting for this uncertainty can avoid posterior under-coverage when likelihoods are constructed from a ...
Girolami, MA   +4 more
core   +1 more source

Why I am less persuaded than you: People's intuitive understanding of the psychology of persuasion. [PDF]

open access: yes, 2010
People generally assume that others are more influenced than the self (the third person perception or TPP). To further understand this perception we investigated people’s intuitive understanding of how persuasion works.
Douglas, Karen M.   +3 more
core   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

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