Preface xv
Konstantinos N ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA
 
Part 1 1
 
Chapter 1 A Topological Clustering of Variables 3
Rafik ABDESSELAM
 
1.1 Introduction 3
 
1.2 Topological context 5
 
1.3 Topological clustering of variables -- selective review 9
 
1.4 Illustration on real data of simple examples 10
 
1.5 Conclusion 19
 
1.6 Appendix 20
 
1.7 References 23
 
Chapter 2 A New Regression Model for Count Compositions 25
Roberto ASCARI and Sonia MIGLIORATI
 
2.1 Introduction 25
 
2.1.1 Distributions for count vectors 26
 
2.2 Regression models and Bayesian inference 29
 
2.3 Simulation studies 30
 
2.4 Application to real electoral data 34
 
2.5 References 37
 
Chapter 3 Intergenerational Class Mobility in Greece with Evidence from EU-SILC 39
Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU
 
3.1 Introduction 39
 
3.2 Data and methods 41
 
3.3 The trends of class mobility between different birth cohorts 45
 
3.4 Conclusion 52
 
3.5 References 52
 
Chapter 4 Capturing School-to-Work Transitions Using Data from the First European Graduate Survey 55
Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
 
4.1 Introduction 55
 
4.2 Data and methodology 57
 
4.3 Results 58
 
4.4 Conclusion 63
 
4.5 References 64
 
Chapter 5 A Cluster Analysis Approach for Identifying Precarious Workers 67
Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
 
5.1 Introduction 67
 
5.2 Data and methodology 68
 
5.3 Results 70
 
5.4 Conclusion and discussion 74
 
5.5 References 75
 
Chapter 6 American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process 77
Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI
 
6.1 Introduction 77
 
6.2 American option pricing 79
 
6.3 Exercising strategies 80
 
6.4 Conclusion 89
 
6.5 References 89
 
Chapter 7 The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data 91
Aggeliki YFANTI and Catherine MICHALOPOULOU
 
7.1 Introduction 91
 
7.2 Methods 95
 
7.3 Results 96
 
7.4 Conclusion 101
 
7.5 References 102
 
Chapter 8 Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics 105
Hidekazu YOSHIOKA and Yumi YOSHIOKA
 
8.1 Introduction 105
 
8.2 Mathematical model 108
 
8.3 Optimization problem 109
 
8.4 HJBI equation: formulation and solution 111
 
8.5 Concluding remarks 115
 
8.6 Acknowledgments 116
 
8.7 References 116
 
Part 2 119
 
Chapter 9 Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment 121
Vladimir ANISIMOV, Stephen GORMLEY, Rosalind BAVERSTOCK and Cynthia KINEZA
 
9.1 Introduction 122
 
9.2 Modeling the process of event occurrence 123
 
9.3 Predicting event counts for patients at risk 127
 
9.4 Predicting event counts accounting for ongoing recruitment 129
 
9.5 Monte Carlo simulation 133
 
9.6 Software development 133
 
9.7 R package and implementation in a clinical trial 138
 
9.8 Conclusion 140
 
9.9 References 141
 
Chapter 10 Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level 143
Dominique DESBOIS
 
10.1 Introduction 143
 
10.2 Structu