Similar Search Results

Estimation of Agent-Based Models Using Bayesian Deep Learning Approach of BayesFlow

SHIONO, Takashi - 2020

simulation. This deep neural network-based method holds general applicability without any critical dependence on pre …

Persistent link: https://www.econbiz.de/10012829512

Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo

Lux, Thomas - 2020

Over the last decade, agent-based models in economics have reached a state of maturity that brought the tasks of statistical inference and goodness-of-fit of such models on the agenda of the research community. While most available papers have pursued a frequentist approach adopting either...

Persistent link: https://www.econbiz.de/10012164264

Firms formation and growth in the model with heterogeneous agents and monitoring

Marko, Peter; Švarc, Petr - 2008

In this article we extend the agent-based model of firms' formation and growth proposed in [4]. In [4] the firms' creation, expansion or contraction results from the interaction of heterogeneous utility maximizers. While the original model was able to replicate the power law distribution in the...

Persistent link: https://www.econbiz.de/10010322258

Validity of Capability Estimates Obtained through Structural Equation Modelling in a Multidimensional Setting – An Agent-Based Simulation Exercise

Chávez-Juárez, Florian; Krishnakumar, Jaya - 2018

The main aim of this study is to evaluate the performance of structural equation models in the estimation of capabilities in a multidimensional development space. We simulate an artificial society using agent-based modelling techniques. Our artificial world is generated to closely resemble a...

Persistent link: https://www.econbiz.de/10014114081

Financial Market Simulation

Jacobs, Ph.D., Bruce I. - 2017

When they want to see how complex systems work, scientists often turn to asynchronous-time simulation, which allows … a simulation may be able to provide a more realistic picture of complex markets …

Persistent link: https://www.econbiz.de/10012973137

Twitter Financial Community Modeling Using Agent Based Simulation

Yang, Steve Y. - 2015

financial market. This paper presents an agent-based simulation framework to model the Twitter network growth and message … propagation pattern. Simulation of the 2013 Associated Press hoax incident demonstrates that removing critical nodes of the …

Persistent link: https://www.econbiz.de/10013034681

Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model

Bargigli, Leonardo - 2019

We introduce a financially constrained production framework in which heterogeneous firms and banks entertain multiple credit connections. The parameters of credit market interaction are estimated from real data in order to reproduce a set of empirical regularities of the Japanese credit market....

Persistent link: https://www.econbiz.de/10012903705

Amortized Neural Networks for Agent-Based Model Forecasting

Koshelev, Denis; Ponomarenko, Alexey; Seleznev, Sergei - 2023

In this paper, we propose a new procedure for unconditional and conditional forecasting in agent-based models. The proposed algorithm is based on the application of amortized neural networks and consists of two steps. The first step simulates artificial datasets from the model. In the second...

Persistent link: https://www.econbiz.de/10014346187

Determinants and policy simulation of firms cooperation in innovation

Heshmati, Almas; Lenz-Cesar, Flávio - 2013

This research introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the … translated into simulation parameters which are calibrated to the point that the simulated artificial world are equivalent to the … one observed in the real world. The aim of the simulation game is to investigate the differences in sector responses to …

Persistent link: https://www.econbiz.de/10009766256

An information theoretic criterion for empirical validation of time series models

Lamperti, Francesco - 2015

Simulated models suffer intrinsically from validation and comparison problems. The choice of a suitable indicator quantifying the distance between the model and the data is pivotal to model selection. However, how to validate and discriminate between alternative models is still an open problem...

Persistent link: https://www.econbiz.de/10010490842