Results 81 to 90 of about 13,242 (292)
Bayesian Persuasion for Algorithmic Recourse [PDF]
Keegan Harris +5 more
openalex +1 more source
Bayesian Updating Rules in Continuous Opinion Dynamics Models
In this article, I investigate the use of Bayesian updating rules applied to modeling social agents in the case of continuos opinions models. Given another agent statement about the continuous value of a variable $x$, we will see that interesting ...
André C R Martins +7 more
core +2 more sources
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source
Non-Bayesian Social Learning, Second Version [PDF]
We develop a dynamic model of opinion formation in social networks. Relevant information is spread throughout the network in such a way that no agent has enough data to learn a payoff-relevant parameter.
Ali Jadbabaie +2 more
core
ABSTRACT To promote the development of renewable energy, China re‐implemented the Chinese Certified Emission Reduction (CCER) policy in 2023. This study explores certificated CO2 and air pollutants (i.e., NOx, SO2 and particulate matter (PM)) emissions reductions from China's solar thermal power (STP) industry at national scale and conducts the ...
Yun Li +3 more
wiley +1 more source
Multistage communication with and without verifiable types [PDF]
We survey the main results on strategic information transmission, which is often referred to as ``persuasion" when types are verifiable and as ``cheap talk" when they are not.
Francoise Forges, Frederic Koessler
core
Dynamic Competitive Persuasion
We examine a dynamic game of competitive persuasion played between two long-lived sellers over $T \leq \infty$ periods. Each period, each seller provides information via a Blackwell experiment to a single short-lived buyer, who buys from the seller whose
Whitmeyer, Mark
core
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Detection in Human-sensor Systems under Quantum Prospect Theory using Bayesian Persuasion Frameworks [PDF]
Yinan Hu, Quanyan Zhu
openalex +1 more source
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang +3 more
wiley +1 more source

