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Data Analysis and Related Applications, Volume 1 : Computational, Algorithmic and Applied Economic Data Analysis
| Data Analysis and Related Applications, Volume 1 : Computational, Algorithmic and Applied Economic Data Analysis |
| Autore | Zafeiris Konstantinos N |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
| Descrizione fisica | 1 online resource (478 pages) |
| Altri autori (Persone) |
SkiadasChristos H
DimotikalisYannis KaragrigoriouAlex Karagrigoriou-VontaChristiana |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-394-16551-X
1-394-16549-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1 -- 1. Performance of Evaluation of Diagnosis of Various Thyroid Diseases Using Machine Learning Techniques -- 1.1. Introduction -- 1.2. Data understanding -- 1.3. Modeling -- 1.4. Findings -- 1.5. Conclusion -- 1.6. References -- 2. Exploring Chronic Diseases' Spatial Patterns: Thyroid Cancer in Sicilian Volcanic Areas -- 2.1. Introduction -- 2.2. Epidemiological data and territory -- 2.3. Methodology -- 2.3.1. Spatial inhomogeneity and spatial dependence -- 2.3.2. Standardized incidence ratio (SIR) -- 2.3.3. Local Moran's I statistic -- 2.4. Spatial distribution of TC in eastern Sicily -- 2.4.1. SIR geographical variation -- 2.4.2. Estimate of the spatial attraction -- 2.5. Conclusion -- 2.6. References -- 3. Analysis of Blockchain-based Databases in Web Applications -- 3.1. Introduction -- 3.2. Background -- 3.2.1. Blockchain -- 3.2.2. Blockchain types -- 3.2.3. Blockchain-based web applications -- 3.2.4. Blockchain consensus algorithms -- 3.2.5. Other consensus algorithms -- 3.3. Analysis stack -- 3.3.1. Art Shop web application -- 3.3.2. SQL-based application -- 3.3.3. NoSQL-based application -- 3.3.4. Blockchain-based application -- 3.4. Analysis -- 3.4.1. Adding records -- 3.4.2. Query -- 3.4.3. Functionality -- 3.4.4. Security -- 3.5. Conclusion -- 3.6. References -- 4. Optimization and Asymptotic Analysis of Insurance Models -- 4.1. Introduction -- 4.2. Discrete-time model with reinsurance and bank loans -- 4.2.1. Model description -- 4.2.2. Optimization problem -- 4.2.3. Model stability -- 4.3. Continuous-time insurance model with dividends -- 4.3.1. Model description -- 4.3.2. Optimal barrier strategy -- 4.3.3. Special form of claim distribution -- 4.3.4. Numerical analysis -- 4.4. Conclusion and further research directions -- 4.5. References.
5. Statistical Analysis of TrafficVolume in the 25 de Abril Bridge -- 5.1. Introduction -- 5.2. Data -- 5.3. Methodology -- 5.3.1. Main limit results -- 5.3.2. Block maxima method -- 5.3.3. Largest order statistics method -- 5.3.4. Estimation of other tail parameters -- 5.4. Results and conclusion -- 5.5. Acknowledgements -- 5.6. References -- 6. Predicting the Risk of Gestational Diabetes Mellitus through Nearest Neighbor Classification -- 6.1. Introduction -- 6.2. Nearest neighbor methods -- 6.2.1. Background of the NN methods -- 6.2.2. The k-nearest neighbors method -- 6.2.3. The fixed-radius NN method -- 6.2.4. The kernel-NN method -- 6.2.5. Algorithms of the three considered NN methods -- 6.2.6. Parameter and distance metric selection -- 6.3. Experimental results -- 6.3.1. Dataset description -- 6.3.2. Variable selection and data splitting -- 6.3.3. Results -- 6.3.4. A discussion and comparison of results -- 6.4. Conclusion -- 6.5. References -- 7. Political Trust in National Institutions: The Significance of Items' Level of Measurement in the Validation of Constructs -- 7.1. Introduction -- 7.2. Methods -- 7.2.1. Participants -- 7.2.2. Instrument -- 7.2.3. Statistical analyses -- 7.3. Results -- 7.3.1. EFA results -- 7.3.2. CFA results -- 7.3.3. Scale construction and assessment -- 7.4. Conclusion -- 7.5. Funding -- 7.6. References -- 8. The State of the Art in Flexible Regression Models for Univariate Bounded Responses -- 8.1. Introduction -- 8.2. Regression model for bounded responses -- 8.2.1. Augmentation -- 8.2.2. Main distributions on the bounded support -- 8.2.3. Inference and -- 8.3. Case studies -- 8.3.1. Stress data -- 8.3.2. Reading data -- 8.4. References -- 9. Simulation Studies for a Special Mixture Regression Model with Multivariate Responses on the Simplex -- 9.1. Introduction -- 9.2. Dirichlet and EFD distributions. 9.3. Dirichlet and EFD regression models -- 9.3.1. Inference and -- 9.4. Simulation studies -- 9.4.1. Comments -- 9.5. References -- Part 2 -- 10. Numerical Studies of Implied Volatility Expansions Under the Gatheral Model -- 10.1. Introduction -- 10.2. Asymptotic expansions of implied volatility -- 10.3. Performance of the asymptotic expansions -- 10.4. Calibration using the asymptotic expansions -- 10.4.1. A partial calibration procedure -- 10.4.2. Calibration to synthetic and market data -- 10.5. Conclusion and future work -- 10.6. References -- 11. Performance Persistence of Polish Mutual Funds: Mobility Measures -- 11.1. Introduction -- 11.2. Literature review -- 11.3. Dataset and empirical design -- 11.4. Empirical results -- 11.5. Monthly perspective -- 11.6. Quarterly perspective -- 11.7. Yearly perspective -- 11.8. Conclusion -- 11.9. References -- 12. Invariant Description for a Batch Version of the UCB Strategy with Unknown Control Horizon -- 12.1. Introduction -- 12.2. UCB strategy -- 12.3. Batch version of the strategy -- 12.4. Invariant description with a unit control horizon -- 12.5. Simulation results -- 12.6. Conclusion -- 12.7. Affiliations -- 12.8. References -- 13. A New Non-monotonic Link Function for Beta Regressions -- 13.1. Introduction -- 13.2. Model -- 13.3. Estimation -- 13.4. Comparison -- 13.5. Conclusion -- 13.6. References -- 14. A Method of Big Data Collection and Normalization for Electronic Engineering Applications -- 14.1. Introduction -- 14.2. Machine learning (ML) in electronic engineering -- 14.2.1. Data acquisition -- 14.2.2. Accessing the data repositories -- 14.2.3. Data storage and management -- 14.3. Electronic engineering applications - data science -- 14.4. Conclusion and future work -- 14.5. References. 15. Stochastic Runge-Kutta Solvers Based on Markov Jump Processes and Applications to Non-autonomous Systems of Differential Equations -- 15.1. Introduction -- 15.2. Description of the method -- 15.2.1. The direct simulation method -- 15.2.2. Picard iterations -- 15.2.3. Runge-Kutta steps -- 15.3. Numerical examples -- 15.3.1. The Lorenz system -- 15.3.2. A combustion model -- 15.4. Conclusion -- 15.5. References -- 16. Interpreting a Topological Measure of Complexity for Decision Boundaries -- 16.1. Introduction -- 16.2. Persistent homology -- 16.3. Methodology -- 16.3.1. Neural networks and binary classification -- 16.3.2. Persistent homology of a decision boundary -- 16.3.3. Procedure -- 16.4. Experiments and results -- 16.4.1. Three-dimensional binary classification -- 16.4.2. Data divided by a hyperplane -- 16.5. Conclusion and discussion -- 16.6. References -- 17. The Minimum Renyi's Pseudodistance Estimators for Generalized Linear Models -- 17.1. Introduction -- 17.2. The minimum RP estimators for the GLM model: asymptotic distribution -- 17.3. Example: Poisson regression model -- 17.3.1. Real data application -- 17.4. Conclusion -- 17.5. Acknowledgments -- 17.6. Appendix -- 17.6.1. Proof of Theorem 1 -- 17.7. References -- 18. Data Analysis based on Entropies and Measures of Divergence -- 18.1. Introduction -- 18.2. Divergence measures -- 18.3. Tests of fit based on Φ−divergence measures -- 18.4. Simulations -- 18.5. References -- Part 3 -- 19. Geographically Weighted Regression for Official Land Prices and their Temporal Variation in Tokyo -- 19.1. Introduction -- 19.2. Models and methodology -- 19.3. Data analysis -- 19.3.1. Data -- 19.3.2. Results -- 19.4. Conclusion -- 19.5. Acknowledgments -- 19.6. References -- 20. Software Cost Estimation Using Machine Learning Algorithms -- 20.1. Introduction -- 20.2. Methodology -- 20.2.1. Dataset. 20.2.2. Model -- 20.2.3. Evaluating the performance of the model -- 20.3. Results and discussion -- 20.4. Conclusion -- 20.5. References -- 21. Monte Carlo Accuracy Evaluation of Laser Cutting Machine -- 21.1. Introduction -- 21.2. Mathematical model of a pintograph -- 21.3. Monte Carlo simulator -- 21.4. Simulation results -- 21.5. Conclusion -- 21.6. Acknowledgments -- 21.7. References -- 22. Using Parameters of Piecewise Approximation by Exponents for Epidemiological Time Series Data Analysis -- 22.1. Introduction -- 22.2. Deriving equations for moving exponent parameters -- 22.3. Validation of derived equations by using synthetic data -- 22.4. Using derived equations to analyze real-life Covid-19 data -- 22.5. Conclusion -- 22.6. References -- 23. The Correlation Between Oxygen Consumption and Excretion of Carbon Dioxide in the Human Respiratory Cycle -- 23.1. Introduction -- 23.2. Respiratory function physiology: ventilation-perfusion ratio -- 23.3. The basic principle of operation of artificial lung ventilation devices: patient monitoring parameters -- 23.4. The algorithm for monitoring the carbon emissions and oxygen consumption -- 23.5. Results -- 23.6. Conclusion -- 23.7. References -- Part 4 -- 24. Approximate Bayesian Inference Using the Mean-Field Distribution -- 24.1. Introduction -- 24.2. Inference problem in a symmetric population system -- 24.2.1. Example of a symmetric system describing plant competition -- 24.2.2. Inference problem of the Schneider system, in a more general setting -- 24.3. Properties of the mean-field distribution -- 24.4. Mean-field approximated inference -- 24.4.1. Case of systems admitting a mean-field limit -- 24.5. Conclusion -- 24.6. References -- 25. Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space -- 25.1. Introduction and outline. 25.2. Cubature formulae on Wiener space. |
| Record Nr. | UNINA-9910590096903321 |
Zafeiris Konstantinos N
|
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| Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Analysis and Related Applications, Volume 2 : Multivariate, Health and Demographic Data Analysis
| Data Analysis and Related Applications, Volume 2 : Multivariate, Health and Demographic Data Analysis |
| Autore | Zafeiris Konstantinos N |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
| Descrizione fisica | 1 online resource (444 pages) |
| Altri autori (Persone) |
SkiadasChristos H
DimotikalisYiannis KaragrigoriouAlex Karagrigoriou-VontaChristiana |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-394-16554-4
1-394-16552-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- PART 1 -- 1. A Topological Clustering of Variables -- 1.1. Introduction -- 1.2. Topological context -- 1.2.1. Reference adjacency matrices -- 1.2.2. Quantitative variables -- 1.2.3. Qualitative variables -- 1.2.4. Mixed variables -- 1.3. Topological clustering of variables - selective review -- 1.4. Illustration on real data of simple examples -- 1.4.1. Case of a set of quantitative variables -- 1.4.2. Case of a set of qualitative variables -- 1.4.3. Case of a set of mixed variables -- 1.5. Conclusion -- 1.6. Appendix -- 1.7. References -- 2. A New Regression Model for Count Compositions -- 2.1. Introduction -- 2.1.1. Distributions for count vectors -- 2.2. Regression models and Bayesian inference -- 2.3. Simulation studies -- 2.3.1. Fitting study -- 2.3.2. Excess of zeroes -- 2.4. Application to real electoral data -- 2.5. References -- 3. Intergenerational Class Mobility in Greece with Evidence from EU-SILC -- 3.1. Introduction -- 3.2. Data and methods -- 3.3. The trends of class mobility between different birth cohorts -- 3.4. Conclusion -- 3.5. References -- 4. Capturing School-to-Work Transitions Using Data from the First European Graduate Survey -- 4.1. Introduction -- 4.2. Data and methodology -- 4.3. Results -- 4.4. Conclusion -- 4.5. References -- 5. A Cluster Analysis Approach for Identifying Precarious Workers -- 5.1. Introduction -- 5.2. Data and methodology -- 5.3. Results -- 5.4. Conclusion and discussion -- 5.4.1. Declarations -- 5.5. References -- 6. American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process -- 6.1. Introduction -- 6.2. American option pricing -- 6.3. Exercising strategies -- 6.3.1. Setting parameter -- 6.3.2. Relationship between the American option price and economic situation i.
6.3.3. Relationship between the American option price and the asset price s -- 6.3.4. Relationship between the American option price and maturity T -- 6.3.5. Relationship between the American option price and transition probabilities P -- 6.3.6. Consideration of the optimal exercise region -- 6.4. Conclusion -- 6.5. References -- 7. The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data -- 7.1. Introduction -- 7.2. Methods -- 7.3. Results -- 7.4. Conclusion -- 7.5. References -- 8. Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics -- 8.1. Introduction -- 8.2. Mathematical model -- 8.3. Optimization problem -- 8.4. HJBI equation: formulation and solution -- 8.5. Concluding remarks -- 8.6. Acknowledgments -- 8.7. References -- PART 2 -- 9. Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment -- 9.1. Introduction -- 9.2. Modeling the process of event occurrence -- 9.2.1. Estimating parameters of the model -- 9.3. Predicting event counts for patients at risk -- 9.3.1. Global prediction -- 9.4. Predicting event counts accounting for ongoing recruitment -- 9.4.1. Modeling and predicting patient recruitment -- 9.4.2. Predicting event counts -- 9.4.3. Global forecasting event counts at interim stage -- 9.5. Monte Carlo simulation -- 9.6. Software development -- 9.6.1. R package design -- 9.6.2. R package input data required -- 9.7. R package and implementation in a clinical trial -- 9.7.1. Introduction -- 9.7.2. Key predictions -- 9.7.3. Plots and parameter estimates -- 9.8. Conclusion -- 9.9. References -- 10. Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level -- 10.1. Introduction -- 10.2. Structural equation modeling using partial least squares. 10.2.1. Specification of the internal model -- 10.2.2. Specification of the external model -- 10.2.3. Validation statistics for the external model -- 10.2.4. Overall validation of structural modeling -- 10.3. Material and method -- 10.3.1. Agro-ecological context of the study -- 10.3.2. Data -- 10.3.3. The structural model and the estimation -- 10.4. Results and discussion -- 10.4.1. Checking the block one-dimensionality -- 10.4.2. Fitting the external model and assessing the quality of the fit -- 10.4.3. The structural model after revision -- 10.5. Conclusion -- 10.6. References -- 11. Lean Management as an Improvement Factor in Health Services - The Case of Venizeleio General Hospital of Crete, Greece -- 11.1. Introduction -- 11.2. Theoretical framework -- 11.3. Purpose of the research -- 11.4. Methodology -- 11.5. Research results -- 11.6. Conclusion -- 11.7. References -- 12. Motivation and Professional Satisfaction of Medical and Nursing Staff of Primary Health Care Structures (Urban and Regional Health Centers) of the Prefecture of Heraklion, Under the Responsibility of the 7th Ministry -- 12.1. Introduction -- 12.2. Methodology and material -- 12.2.1. Research tools for measuring motivation and professional -- 12.2.2. Purpose and objectives of the research -- 12.2.3. Material and method -- 12.2.4. Statistical analysis -- 12.3. Results -- 12.4. Discussion -- 12.5. Conclusion -- 12.6. References -- 13. Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry -- 13.1. Introduction -- 13.2. Methodology -- 13.3. Discussion and conclusion -- 13.4. Acknowledgments -- 13.5. Appendix -- 13.6. References -- 14. Statistical Process Monitoring Techniques for Covid-19 -- 14.1. Introduction -- 14.2. Materials and methods -- 14.3. Behavior of Covid-19 disease in the Mediterranean region -- 14.4. Conclusion. 14.5. Acknowledgments -- 14.6. References -- PART 3 -- 15. Increase of Retirement Age and Health State of Population in Czechia -- 15.1. Introduction -- 15.2. Data and methodological remarks -- 15.3. Statutory retirement age -- 15.4. Development of the state of health of population -- 15.5. Development of the state of health of population in productive and post-productive ages -- 15.6. Conclusion -- 15.7. Acknowledgment -- 15.8. References -- 16. A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation -- 16.1. Introduction -- 16.2. Preliminary results in the area of EVT for heavy tails and asymptotic behavior of MOp functionals -- 16.2.1. A brief review of firstand second-order conditions -- 16.2.2. Asymptotic behavior of the Hill EVI-estimators -- 16.2.3. Asymptotic behavior of MOp EVI-estimators under a regular framework -- 16.2.4. A brief reference to additive stable laws -- 16.2.5. Asymptotic behavior of EVI-estimators under a non-regular framework -- 16.3. Finite-sample behavior of MOp functionals -- 16.4. A non-regular adaptive choice of p and k -- 16.5. Concluding remarks -- 16.6. References -- 17. Demography and Policies in V4 Countries -- 17.1. Introduction -- 17.2. Demographic development in the V4 countries -- 17.3. Development of fertility and family policy -- 17.4. Pension systems of the Visegrad Four countries -- 17.5. Prediction of future development of V4 populations -- 17.6. Conclusion -- 17.7. Acknowledgments -- 17.8. References -- 18. Decomposing Differences in Life Expectancy With and Without Disability: The Case of Czechia -- 18.1. Introduction -- 18.2. Methodology and data -- 18.3. Main results -- 18.3.1. Effect of mortality -- 18.3.2. Effects of mortality and health -- 18.4. Conclusion -- 18.5. Acknowledgments -- 18.6. References. 19. Assessing the Predictive Ability of Subjective Survival Probabilities -- 19.1. Introduction -- 19.1.1. Actual mortality patterns -- 19.1.2. Objectives of the study -- 19.2. Methods -- 19.2.1. Data -- 19.2.2. Force of subjective mortality -- 19.2.3. Variables -- 19.2.4. Statistical modeling -- 19.3. Results -- 19.3.1. Sample -- 19.3.2. Multivariable analyses -- 19.4. Discussion -- 19.5. Conclusion -- 19.6. Acknowledgments -- 19.7. References -- 20. Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models -- 20.1. Introduction -- 20.2. Binomial mortality model and the empirical distribution of daily deaths in Germany -- 20.3. Non-seasonal ARIMA model for weekly data in Germany -- 20.4. Seasonal ARIMA models of weekly deaths for Spain, Germany and Sweden -- 20.5. Measuring excess mortality, especially in Spain, Germany and Sweden -- 20.6. Forecasting daily deaths in Germany -- 20.7. Conclusion -- 20.8. Appendix -- 20.8.1. Estimation results of the other age classes -- 20.8.2. Time series decomposition -- 20.9. References -- 21. The Impact of Cesarean Section on Neonatal Mortality in Rural-Urban Divisions in a Region of Brazil -- 21.1. Introduction -- 21.2. Materials and methods -- 21.2.1. Multilevel logistic model -- 21.3. Results and discussion -- 21.4. Conclusion -- 21.5. References -- 22. Analysis of Alcohol Policy in Czechia: Estimation of Alcohol Policy Scale Compared to EU Countries -- 22.1. Introduction -- 22.2. Literature review -- 22.3. Methods -- 22.4. Results -- 22.5. Discussion -- 22.6. Conclusion -- 22.7. Acknowledgment -- 22.8. References -- 23. Alcohol-Related Mortality and Its Cause-Elimination in Life Tables in Selected European Countries and USA: An International Comparison -- 23.1. Introduction -- 23.2. Data and methods -- 23.3. Alcohol consumption in European countries by the OECD -- 23.4. Czechia. 23.5. Poland. |
| Record Nr. | UNINA-9910590096303321 |
|
Zafeiris Konstantinos N
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Population Studies in the Western Balkans
| Population Studies in the Western Balkans |
| Autore | Zafeiris Konstantinos N |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 304.609497 |
| Altri autori (Persone) |
KotzamanisByron
SkiadasChristos |
| Collana | European Studies of Population Series |
| ISBN | 3-031-53088-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910845099603321 |
|
Zafeiris Konstantinos N
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||