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Economic modeling using artificial intelligence methods / / Tshilidzi Marwala
| Economic modeling using artificial intelligence methods / / Tshilidzi Marwala |
| Autore | Marwala Tshilidzi <1971-> |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | London, : Springer, 2013 |
| Descrizione fisica | 1 online resource (xvi, 261 pages) : illustrations (some color) |
| Disciplina | 330.0113 |
| Collana | Advanced Information and Knowledge Processing |
| Soggetto topico |
Econometric models
Artificial intelligence - Data processing |
| ISBN | 1-4471-5010-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- Acknowledgements -- 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 -- 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 -- Index. |
| Record Nr. | UNINA-9910741172203321 |
Marwala Tshilidzi <1971->
|
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| London, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari
| Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari |
| Autore | Marwala Tshilidzi <1971-> |
| Pubbl/distr/stampa | Chichester, [England] : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (245 p.) |
| Disciplina | 620.001/51825 |
| Soggetto topico |
Finite element method
Bayesian statistical decision theory Engineering - Mathematical models |
| ISBN |
1-119-15301-8
1-119-15300-X 1-119-15302-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page ; Copyright; Contents; Acknowledgements; Nomenclature ; Chapter 1 Introduction to Finite Element Model Updating ; 1.1 Introduction; 1.2 Finite Element Modelling; 1.3 Vibration Analysis; 1.3.1 Modal Domain Data; 1.3.2 Frequency Domain Data; 1.4 Finite Element Model Updating; 1.5 Finite Element Model Updating and Bounded Rationality; 1.6 Finite Element Model Updating Methods; 1.6.1 Direct Methods; 1.6.2 Iterative Methods; 1.6.3 Artificial Intelligence Methods; 1.6.4 Uncertainty Quantification Methods; 1.7 Bayesian Approach versus Maximum Likelihood Method; 1.8 Outline of the Book
ReferencesChapter 2 Model Selection in Finite Element Model Updating ; 2.1 Introduction; 2.2 Model Selection in Finite Element Modelling; 2.2.1 Akaike Information Criterion; 2.2.2 Bayesian Information Criterion; 2.2.3 Bayes Factor; 2.2.4 Deviance Information Criterion; 2.2.5 Particle Swarm Optimisation for Model Selection; 2.2.6 Regularisation; 2.2.7 Cross-Validation; 2.2.8 Nested Sampling for Model Selection; 2.3 Simulated Annealing; 2.4 Asymmetrical H-Shaped Structure; 2.4.1 Regularisation; 2.4.2 Cross-Validation; 2.4.3 Bayes Factor and Nested Sampling; 2.5 Conclusion; References Chapter 3 Bayesian Statistics in Structural Dynamics 3.1 Introduction; 3.2 Bayes ́Rule; 3.3 Maximum Likelihood Method; 3.4 Maximum a Posteriori Parameter Estimates; 3.5 Laplaceś Method; 3.6 Prior, Likelihood and Posterior Function of a Simple Dynamic Example; 3.6.1 Likelihood Function; 3.6.2 Prior Function; 3.6.3 Posterior Function; 3.6.4 Gaussian Approximation; 3.7 The Posterior Approximation; 3.7.1 Objective Function; 3.7.2 Optimisation Approach; 3.7.3 Case Example; 3.8 Sampling Approaches for Estimating Posterior Distribution; 3.8.1 Monte Carlo Method 3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References Chapter 5 Dynamically Weighted Importance Sampling for Finite Element Updating 5.1 Introduction; 5.2 Bayesian Modelling Approach; 5.3 Metropolis-Hastings (M-H) Algorithm; 5.4 Importance Sampling; 5.5 Dynamically Weighted Importance Sampling; 5.5.1 Markov Chain; 5.5.2 Adaptive Pruned-Enriched Population Control Scheme; 5.5.3 Monte Carlo Dynamically Weighted Importance Sampling; 5.6 Application 1: Cantilevered Beam; 5.7 Application 2: H-Shaped Structure; 5.8 Conclusions; References; Chapter 6 Adaptive Metropolis-Hastings for Finite Element Updating ; 6.1 Introduction 6.2 Adaptive Metropolis-Hastings Algorithm |
| Record Nr. | UNINA-9910166635403321 |
|
Marwala Tshilidzi <1971->
|
||
| Chichester, [England] : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari
| Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari |
| Autore | Marwala Tshilidzi <1971-> |
| Pubbl/distr/stampa | Chichester, [England] : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (245 p.) |
| Disciplina | 620.001/51825 |
| Soggetto topico |
Finite element method
Bayesian statistical decision theory Engineering - Mathematical models |
| ISBN |
1-119-15301-8
1-119-15300-X 1-119-15302-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title Page ; Copyright; Contents; Acknowledgements; Nomenclature ; Chapter 1 Introduction to Finite Element Model Updating ; 1.1 Introduction; 1.2 Finite Element Modelling; 1.3 Vibration Analysis; 1.3.1 Modal Domain Data; 1.3.2 Frequency Domain Data; 1.4 Finite Element Model Updating; 1.5 Finite Element Model Updating and Bounded Rationality; 1.6 Finite Element Model Updating Methods; 1.6.1 Direct Methods; 1.6.2 Iterative Methods; 1.6.3 Artificial Intelligence Methods; 1.6.4 Uncertainty Quantification Methods; 1.7 Bayesian Approach versus Maximum Likelihood Method; 1.8 Outline of the Book
ReferencesChapter 2 Model Selection in Finite Element Model Updating ; 2.1 Introduction; 2.2 Model Selection in Finite Element Modelling; 2.2.1 Akaike Information Criterion; 2.2.2 Bayesian Information Criterion; 2.2.3 Bayes Factor; 2.2.4 Deviance Information Criterion; 2.2.5 Particle Swarm Optimisation for Model Selection; 2.2.6 Regularisation; 2.2.7 Cross-Validation; 2.2.8 Nested Sampling for Model Selection; 2.3 Simulated Annealing; 2.4 Asymmetrical H-Shaped Structure; 2.4.1 Regularisation; 2.4.2 Cross-Validation; 2.4.3 Bayes Factor and Nested Sampling; 2.5 Conclusion; References Chapter 3 Bayesian Statistics in Structural Dynamics 3.1 Introduction; 3.2 Bayes ́Rule; 3.3 Maximum Likelihood Method; 3.4 Maximum a Posteriori Parameter Estimates; 3.5 Laplaceś Method; 3.6 Prior, Likelihood and Posterior Function of a Simple Dynamic Example; 3.6.1 Likelihood Function; 3.6.2 Prior Function; 3.6.3 Posterior Function; 3.6.4 Gaussian Approximation; 3.7 The Posterior Approximation; 3.7.1 Objective Function; 3.7.2 Optimisation Approach; 3.7.3 Case Example; 3.8 Sampling Approaches for Estimating Posterior Distribution; 3.8.1 Monte Carlo Method 3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References Chapter 5 Dynamically Weighted Importance Sampling for Finite Element Updating 5.1 Introduction; 5.2 Bayesian Modelling Approach; 5.3 Metropolis-Hastings (M-H) Algorithm; 5.4 Importance Sampling; 5.5 Dynamically Weighted Importance Sampling; 5.5.1 Markov Chain; 5.5.2 Adaptive Pruned-Enriched Population Control Scheme; 5.5.3 Monte Carlo Dynamically Weighted Importance Sampling; 5.6 Application 1: Cantilevered Beam; 5.7 Application 2: H-Shaped Structure; 5.8 Conclusions; References; Chapter 6 Adaptive Metropolis-Hastings for Finite Element Updating ; 6.1 Introduction 6.2 Adaptive Metropolis-Hastings Algorithm |
| Record Nr. | UNINA-9910810896403321 |
|
Marwala Tshilidzi <1971->
|
||
| Chichester, [England] : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||