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Adaptive Information Systems and Modelling in Economics and Management Science Book

Adaptive Information Systems and Modelling in Economics and Management Science
Adaptive Information Systems and Modelling in Economics and Management Science, , Adaptive Information Systems and Modelling in Economics and Management Science has a rating of 3 stars
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  • Adaptive Information Systems and Modelling in Economics and Management Science
  • Written by author Alfred Taudes
  • Published by Springer-Verlag New York, LLC, June 2009
  • Learning and adaption are key features of "real economies". Studying interesting real phenomena like innovation, industry evolution or the role of expectation formulation in financial markets thus necessitates novel methods of data analysis and modelling.
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Book Categories

Authors

Introduction : general scientific concept : aims of SFB 01015
IModeling consumer behavior21
Basic concepts and a discrete-time model23
A continuous-time ACM model and experiment45
Capturing unobserved consumer heterogeneity using the Bayesian heterogeneity model57
IIModeling financial markets71
Non-linear volatility modeling in classical and Bayesian frameworks with applications to risk management73
Expectation formation and learning in adaptive capital market models99
IIIAgent-based simulation models113
The artificial economy : a generic simulation environment for heterogeneous agents115
Disruptive technologies : the threat and its defense127
Agent-based simulation of power markets145
A simulation model of coupled consumer and financial markets159
Product diversification in an artificial strategy environment195
IVStatistical modeling and software development219
Parameter estimation and forecasting under asymmetric loss221
Identification of multivariate state-space systems233
Factor models for multivariate time series243
Detecting longitudinal heterogeneity in generalized linear models253
Ensemble methods for cluster analysis261
Open and extensible software for data analysis in management science269


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