Econometric Information Recovery in Behavioral Networks

Econometric Information Recovery in Behavioral Networks

In this paper, we suggest an approach to recovering behavior-related, preference-choice network information from observational data. We model the process as a self-organized behavior based random exponential network-graph system. To address the unknown nature of the sampling model in recovering behavior related network information, we use the Cressie-Read (CR) family of divergence measures and ...

Information Recovery in Behavioral Networks

In the context of agent based modeling and network theory, we focus on the problem of recovering behavior-related choice information from origin-destination type data, a topic also known under the name of network tomography. As a basis for predicting agents' choices we emphasize the connection between adaptive intelligent behavior, causal entropy maximization, and self-organized behavior in an ...

Behavioral and Descriptive Forms of Econometric Models

Comparing Information in Forecasts from Econometric Models

The information contained in one model’s forecast compared to that in another can be assessed from a regression of actual values on predicted values from the hvo models. We do this for forecasts of real GNP growth rates for different pairs of models. The models include a structural model (the Fair (1976) model), uariour versions of the vector autoregressive (VAR) model, and various versions of ...

Network-coded cooperative information recovery in cellular/802.11 mobile Networks

By utilizing free WiFi transmissions, network coded cooperative peer-to-peer (P2P) information repair (NC-CPR) has been proposed to mitigate packet loss incurred during cellular Base Station (BS) broadcast. However, most of the work focuses on static network environment. While considering peer movement, the challenge part is the dynamically changed network topology, making it hard to control th...