The Resource Economic modeling using artificial intelligence methods, Tshilidzi Marwala
Economic modeling using artificial intelligence methods, Tshilidzi Marwala
Resource Information
The item Economic modeling using artificial intelligence methods, Tshilidzi Marwala represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Economic modeling using artificial intelligence methods, Tshilidzi Marwala represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace - and vice versa - is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners
- Language
- eng
- Extent
- 1 online resource (xvi, 261 pages)
- Contents
-
- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
- Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems
- Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
- Control Approaches to Economic Modeling: Application to Inflation Targeting
- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
- Conclusions and Further Work
- Introduction to Economic Modeling
- Techniques for Economic Modeling: Unlocking the Character of Data
- Automatic Relevance Determination in Economic Modeling
- Neural Approaches to Economic Modeling
- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
- Missing Data Approaches to Economic Modeling: Optimization Approach
- Correlations Versus Causality Approaches to Economic Modeling
- Isbn
- 9781447150091
- Label
- Economic modeling using artificial intelligence methods
- Title
- Economic modeling using artificial intelligence methods
- Statement of responsibility
- Tshilidzi Marwala
- Subject
-
- Artificial intelligence
- Artificial intelligence
- Artificial intelligence
- Artificial intelligence.
- BUSINESS & ECONOMICS -- Economics | Theory
- Computational Intelligence.
- Computational Science and Engineering.
- Computer Simulation
- Computer science.
- Economics -- Computer simulation
- Economics -- Computer simulation
- Economics -- Computer simulation
- Economics -- Data processing
- Economics -- Data processing
- Economics -- Data processing
- Economics, Mathematical.
- Edonomics
- Electronic Data Processing
- Electronic books
- Electronic bookss
- Game Theory/Mathematical Methods.
- Mathematical statistics.
- Optical pattern recognition.
- Pattern Recognition.
- Artificial Intelligence
- Language
- eng
- Summary
- Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace - and vice versa - is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorDate
- 1971-
- http://library.link/vocab/creatorName
- Marwala, Tshilidzi
- Dewey number
- 330.01/13
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- HB143.5
- LC item number
- .M37 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- NLM call number
- HB 143.5
- Series statement
- Advanced information and knowledge processing,
- http://library.link/vocab/subjectName
-
- Economics
- Economics
- Artificial intelligence
- Artificial Intelligence
- Electronic Data Processing
- Computer Simulation
- Edonomics
- BUSINESS & ECONOMICS
- Artificial intelligence
- Economics
- Economics
- Label
- Economic modeling using artificial intelligence methods, Tshilidzi Marwala
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
- Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems
- Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
- Control Approaches to Economic Modeling: Application to Inflation Targeting
- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
- Conclusions and Further Work
- Introduction to Economic Modeling
- Techniques for Economic Modeling: Unlocking the Character of Data
- Automatic Relevance Determination in Economic Modeling
- Neural Approaches to Economic Modeling
- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
- Missing Data Approaches to Economic Modeling: Optimization Approach
- Correlations Versus Causality Approaches to Economic Modeling
- Control code
- 839430769
- Dimensions
- unknown
- Extent
- 1 online resource (xvi, 261 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447150091
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-5010-7
- Other physical details
- illustrations.
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)839430769
- Label
- Economic modeling using artificial intelligence methods, Tshilidzi Marwala
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
- Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems
- Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
- Control Approaches to Economic Modeling: Application to Inflation Targeting
- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
- Conclusions and Further Work
- Introduction to Economic Modeling
- Techniques for Economic Modeling: Unlocking the Character of Data
- Automatic Relevance Determination in Economic Modeling
- Neural Approaches to Economic Modeling
- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
- Missing Data Approaches to Economic Modeling: Optimization Approach
- Correlations Versus Causality Approaches to Economic Modeling
- Control code
- 839430769
- Dimensions
- unknown
- Extent
- 1 online resource (xvi, 261 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447150091
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-5010-7
- Other physical details
- illustrations.
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)839430769
Subject
- Artificial intelligence
- Artificial intelligence
- Artificial intelligence
- Artificial intelligence.
- BUSINESS & ECONOMICS -- Economics | Theory
- Computational Intelligence.
- Computational Science and Engineering.
- Computer Simulation
- Computer science.
- Economics -- Computer simulation
- Economics -- Computer simulation
- Economics -- Computer simulation
- Economics -- Data processing
- Economics -- Data processing
- Economics -- Data processing
- Economics, Mathematical.
- Edonomics
- Electronic Data Processing
- Electronic books
- Electronic bookss
- Game Theory/Mathematical Methods.
- Mathematical statistics.
- Optical pattern recognition.
- Pattern Recognition.
- Artificial Intelligence
Genre
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Economic-modeling-using-artificial-intelligence/Br-KkC6YXOs/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Economic-modeling-using-artificial-intelligence/Br-KkC6YXOs/">Economic modeling using artificial intelligence methods, Tshilidzi Marwala</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
