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Data Analysis and Related Applications 4 -

Data Analysis and Related Applications 4

New Approaches
Buch | Hardcover
416 Seiten
2024
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-78630-992-1 (ISBN)
CHF 229,95 inkl. MwSt
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This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Data Analysis and Related Applications 4 investigates a number of different topics in the areas mentioned above, touching on statistical analysis, stochastic processes, estimation methods, algorithms, distributions and networks, among others.

Yiannis Dimotikalis is Assistant Professor of Quantitative Methods in the Department of Management Science and Technology at Hellenic Mediterranean University, Greece. Christos H. Skiadas was the Founder and Director of Data Analysis and Forecasting and Former Vice-Rector at the Technical University of Crete, Greece. He is the Chair of the Applied Stochastic Models and Data Analysis conference series.

Chapter 1. On the First-Passage Area of a One-Dimensional Diffusion Process with Stochastic Resetting 1
Mario ABUNDO

1.1. Formulation of the problem and general results 1

1.2. Brownian motion with resetting 5

1.3. Drifted Brownian motion with resetting 15

1.4. References 17

Chapter 2. Statistical Analysis of Groundwater Level in Slovakia 19
Dominika SONAK BALLOVA, Jana KALICKA and Michaela CERVENANSKA

2.1. Introduction 19

2.2. Data and methods 20

2.3. Results 25

2.4. Conclusion 27

2.5. Acknowledgment 28

2.6. References 28

Chapter 3. Stochastic Processes Associated with Fully Nonlinear Parabolic Equations Arising in Financial Mathematics 29
Yana BELOPOLSKAYA and Andrey CHUBATOV

3.1. Semilinear and fully nonlinear PDEs 29

3.2. BSDE, FBSDE and deep learning algorithms 34

3.3. Acknowledgments 42

3.4. References 42

Chapter 4. An Improved Shape Parameter Estimation Method for the Pareto Model 45
Frederico CAEIRO and Ayana MATEUS

4.1. Introduction 45

4.2. Estimators under study 47

4.3. An algorithm for selection of the control parameter of the LGPWM shape parameter estimator 50

4.4. Numerical results 51

4.5. Conclusion 54

4.6. Acknowledgments 55

4.7. References 55

Chapter 5. BSDE-θ Scheme for the Heston Model: Valuation of American Options 57
Marko DIMITROV, Abigail BERTA, Achref BACHOUCH, Christian EWALD and Ying NI

5.1. Background 57

5.2. BSDE numerical schemes 59

5.3. Numerical experimental studies: valuation of American options 68

5.4. Conclusion and future work. 72

5.5. References 72

Chapter 6. Age-replacement Policy for Series Systems Under Parameter Uncertainty in Lifetime Distribution 75
Kentaro FUJIOKA, Ying NI and Lu JIN

6.1. Introduction 75

6.2.The model 78

6.3. Optimization 81

6.4. Numerical example 86

6.5. Conclusion 89

6.6. References 90

Chapter 7. New Bicluster Algorithm for Trading 93
Gloria GHENO

7.1. Introduction 93

7.2. Fuzzy logic and trading rules 98

7.3. Sentiment analysis, trading indicators and fuzzy rules 104

7.4. Conclusion 106

7.5. References 107

Chapter 8. A Flexible Generalization of the Latent Dirichlet Allocation 109
Alice GIAMPINO, Roberto ASCARI and Sonia MIGLIORATI

8.1. Introduction 109

8.2. Distributions on the simplex 111

8.3. Latent topic models 113

8.4. Collapsed Gibbs sampling 114

8.5. Simulation study 117

8.6. References 122

Chapter 9. Extreme Value Parameters Estimation: An Overview 123
Dora Prata GOMES and M. Manuela NEVES

9.1. Introduction and overview of extreme value theory 123

9.2. Some parameters of interest in EVT 126

9.3. EVI and EI estimation 127

9.4. Extreme quantile estimation 130

9.5. Application to the daily mean flow discharge in river Tejo 132

9.6. Conclusion and work in progress 135

9.7. Acknowledgments 135

9.8. References 135

Chapter 10. Some Properties on Optimal Maintenance Policies for k-out-of-n:G Systems Considering Imperfect Repair with Controllable Repair Levels 139
Sota IKENOYA and Lu JIN

10.1. Introduction 139

10.2. System description 141

10.2.1. Deterioration state 141

10.2.2. Maintenance actions 142

10.3. Total expected discounted cost 142

10.4. Optimization of maintenance policy 144

10.5. Numerical studies 149

10.6. Conclusion 154

10.7. References 155

Chapter 11. Stochastic Orders and Reliability Properties for the Deficit at Ruin and Bounds for the Laplace Transform of a Compound Geometric Distribution 157
Lazaros KANELLOPOULOS and Konstantinos POLITIS

11.1. Introduction 157

11.2. Model description and results 159

11.3. Bounds for the LT of the maximal aggregate loss 162

11.4. Examples 163

11.5. References 165

Chapter 12. A New Family of Continuous Univariate Distributions with Applications in Actuarial Science 167
Markos V. KOUTRAS and Spiros D. DAFNIS

12.1. Introduction 167

12.2. Definitions and notations 169

12.3. Probability bounds 173

12.4. Aging properties and unimodality 176

12.5. Tail behavior of Dg+(h) 180

12.6. Conclusion 181

12.7. Acknowledgment 181

12.8. References 181

Chapter 13. Simple Form of Probability Density Functions via Sampling 183
Maria LEDAKI and Myrto PAPAGEORGIOU

13.1. Introduction 183

13.2. The sense and the method 184

13.3. Using sampling data 187

13.4. Results and discussion 191

13.5. References 192

Chapter 14. Optimizing Financial Trading Strategies Using Dynamic Bayesian Networks 193
Karl LEWIS, Mark Anthony CARUANA and David Paul SUDA

14.1. Introduction 193

14.2. Theoretical framework 194arameters 201

14.3. Methodology of analysis and results 203

14.4. Conclusion 206

14.5. References 207

Chapter 15. Quantitative Methods for Analysing the Risk and Timing of Bankruptcy of Small and Medium Enterprises 209
Francesca PIERRI and Chrys CARONI

15.1.Introduction 209

15.2. Approaches to statistical modeling 210

15.3. Imbalanced data 211

15.4. Competing risks 214

15.5. Conclusion 218

15.6. References 219

Chapter 16. Network of Adaptive Frequency Oscillators in a Ballistic, Non-Gaussian, Noisy Environment 223
Julio RODRIGUEZ

16.1. Introduction 223

16.2. Dynamics of the network 224

16.3. Analyzing the dynamics 226

16.4. Numerical simulations 231

16.5. Discussion and perspectives 233

16.6. Appendices 234

16.7. References 249

Chapter 17. Penalised Regression Adaptations of the Longstaff-Schwartz Algorithm for Pricing American Options 251
David Paul SUDA, Monique BORG INGUANEZ and Lara CILIA

17.1. Introduction 252

17.2. The Longstaff-Schwartz algorithm and proposed extensions 253

17.3. Stochastic processes in finance and relevant theoretical considerations 255

17.4. Simulation design 257

17.5. Results 259

17.6. Conclusion 263

17.7. References 264

Chapter 18. International Auditing Standards and Their Contribution to the Limitation of Accounting Fraud 267
Efthalia TABOURATZI and Leonidas FANOURAKIS

18.1. Introduction 267

18.2. Literature review 269

18.3. Empirical analysis 277

18.4. Conclusion 292

18.5. References 292

Chapter 19. Equivariant Robust Estimators for Moment Condition Models 295
Aida TOMA, Amor KEZIOU, Luiza BADIN and Silvia DEDU

19.1. Introduction 295

19.2. Robust estimators for moment condition models 297

19.3. Equivariance of robust minimum empirical divergence estimators 301

19.4. Acknowledgments 305

19.5. References 305

Chapter 20. Continuous Increasing Probability Density Functions: An Approach Through Sampling 309
Maria TSIFOUTIDOU and Nikolaos FARMAKIS

20.1. Introduction 309

20.2. Theoretical approach 310

20.3. Examples for illustration 312

20.4. Results and discussion 315

20.5. References 315

Chapter 21. The Importance of the Initial Selection of Suppliers in the Food Service Divisions of Hotels, the Current Situation in the Supply Chain of Greece 317
Konstantinos VASILAKAKIS, Efthalia TABOURATZI and Despoina SDRALI

21.1. Introduction 317

21.2. Literature review 319

21.3. Benefits of supply chain management 320

21.4. Research methodology 321

21.5. Data analysis 322

21.6. Discussion. 331

21.7. Conclusion 332

21.8. References 332

Chapter 22. Compliance with IUU Fisheries of Manila Clams in the Tagus Estuary 337
Margarida XAVIER, Ana LORGA DA SILVA and Paula CHAINHO

22.1. Introduction 338

22.2. Research methodology 341

22.3. Analysis and interpretation of results 343

22.4. Conclusion 350

22.5. Acknowledgments 351

22.6. References 351

Chapter 23. The Expectation of a Mixed Moving Average Process Subject to Ambiguous Lévy Basis 355
Hidekazu YOSHIOKA and Yumi YOSHIOKA

23.1. Introduction 355

23.2. supOU process 356

23.3. Optimization problems 358

23.4. Application 363

23.5. Conclusion 367

23.6. Acknowledgments 368

23.7. References 368

List of Authors 371

Index 377

Erscheint lt. Verlag 4.12.2024
Reihe/Serie ISTE Invoiced
Verlagsort London
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik
ISBN-10 1-78630-992-0 / 1786309920
ISBN-13 978-1-78630-992-1 / 9781786309921
Zustand Neuware
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