Applied Modeling Techniques and Data Analysis 1

Computational Data Analysis Methods and Tools

Volume 7 - Big Data, Artificial Intelligence and Data Analysis SET Coordinated by Jacques Janssen

Applied Modeling Techniques and Data Analysis 1

Edited by

Yannis Dimotikalis, Hellenic Mediterranean University, Greece
Alex Karagrigoriou, University of the Aegean, Greece
Christina Parpoula, Panteion University of Social and Political Sciences, Greece
Christos H. Skiadas, Technical University of Crete, Greece

ISBN : 9781786306739

Publication Date : June 2021

Hardcover 292 pp

165.00 USD



Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community.

Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is 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.


Part 1. Computational Data Analysis
1. A Variant of Updating PageRank in Evolving Tree Graphs, Benard Abola, Pitos Seleka Biganda, Christopher Engström, John Magero Mango, Godwin Kakuba and Sergei Silvestrov.
2. Nonlinearly Perturbed Markov Chains and Information Networks, Benard Abola, Pitos Seleka Biganda, Sergei Silvestrov,
Dmitrii Silvestrov, Christopher Engström, John Magero Mango and Godwin Kakuba.
3. PageRank and Perturbed Markov Chains, Pitos Seleka Biganda, Benard Abola, Christopher Engström, Sergei Silvestrov, Godwin Kakuba and John Magero Mango.
4. Doubly Robust Data-driven Distributionally Robust Optimization, Jose Blanchet, Yang Kang, Fan Zhang, Fei He and Zhangyi Hu.
5. A Comparison of Graph Centrality Measures Based on Lazy Random Walks, Collins Anguzu, Christopher Engström and Sergei Silvestrov.
6. Error Detection in Sequential Laser Sensor Input, Gwenael Gatto and Olympia Hadjiliadis.
7. Diagnostics and Visualization of Point Process Models for Event Times on a Social Network, Jing Wu, Anna L. Smith and Tian Zheng.

Part 2. Data Analysis Methods and Tools
8. Exploring the Distribution of Conditional Quantile Estimates: An Application to Specific Costs of Pig Production in the European Union, Dominique Desbois.
9. Maximization Problem Subject to Constraint of Availability in Semi-Markov Model of Operation, Franciszek Grabski.
10. The Impact of Multicollinearity on Big Data Multivariate Analysis Modeling, Kimon Ntotsis and Alex Karagrigoriou.
11. Weak Signals in High-Dimensional Poisson Regression Models, Orawan Reangsephet, Supranee Lisawadi and Syed Ejaz Ahmed.
12. Groundwater Level Forecasting for Water Resource Management, Andrea Zirulia, Alessio Barbagli and Enrico Guastaldi.
13. Phase I Non-parametric Control Charts for Individual Observations: A Selective Review and Some Results, Christina Parpoula.
14. On Divergence and Dissimilarity Measures for Multiple Time Series, Konstantinos Makris, Alex Karagrigoriou and Ilia Vonta.

About the authors/editors

Yannis Dimotikalis is Assistant Professor within the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece.

Alex Karagrigoriou is Professor of Probability and Statistics, Deputy Director of Graduate Studies in Statistics and Actuarial-Financial Mathematics, and Director of the Laboratory of Statistics and Data Analysis within the Department of Statistics and Actuarial-Financial Mathematics at the University of the Aegean, Greece.

Christina Parpoula is Assistant Professor of Applied Statistics and Research Methodology within the Department of Psychology at the Panteion University of Social and Political Sciences, Greece.

Christos H. Skiadas is Former Vice-Rector at the Technical University of Crete, Greece, and founder of its Data Analysis and Forecasting Laboratory. He continues his research in ManLab, within the faculty’s Department of Production Engineering and Management.