Data Analysis in the AI Era


Models, Methods and Techniques


Volume 14 - Big Data, Artificial Intelligence and Data Analysis SET SET Coordinated by Prasenjit Chatterjee

Data Analysis in the AI Era

Edited by

James R. Bozeman, American University of Malta.
Christos H. Skiadas, Technical University of Crete, Greece.


ISBN : 9781836691396

Publication Date : October 2026

Hardcover 304 pp

170 USD

Co-publisher

Description


Data Analysis in the AI Era covers the process of exploring and analyzing data from various sources for the purpose of extracting information, building models, and making decisions and inferences.

The AI and data analysis field is a scientific area that has grown enormously in recent decades, following a rapidly growing computer industry and the wide applicability of computational techniques in conjunction with new advances in analytic tools. Modeling enables data analysts to apply various statistical methods to the data they are investigating, identify relationships between variables, make predictions about future sets of data, and understand, interpret and visualize the extracted information more strategically. New research results have been developed and published, with many more in progress at the present time.

This book includes applications to health, demography, markets and climate, along with new mathematical and statistical techniques.

Contents


Part 1. Health and Demography.
1. Standard and Fertility-adjusted Equitable Normal Pension Age, Tomáš Fiala, Jitka Langhamrová and Jana Vrabcová.
2. Number of Centenarians in Brazil and Selected Countries: Evaluation of the Quality of Census Counting, Neir Antunes Paes, Rozane Pereira de Sousa and Vivian Conceição Alves Leite Pereira do Lago.
3. Optimal Semi-Markov Model Selection for Pediatric Obstructive Sleep Apnea Patient Data, Matthew Fischer, Adam B. Kashlak, Mathieu Chalifour and Giseon Heo.
4. An Efficient Determination Criterion-based Metric for Z-DNA Pattern Identification in the Epstein-Barr Virus Associated with Nasopharyngeal Carcinoma, James R. Bozeman, Jesús E. García, V.A. González-López and D.S. Santos.
5. Investigating the Mediating Role of Dis/Trust in Government to Deal with the Pandemic in the Relationship Between Covid-19 Cases, the Impact of the Pandemic on Employment and Social Trust: Evidence From the 2020 European Social Survey for Four European Countries, Aggeliki Yfanti and Catherine Michalopoulou.
6. Joint Forecasting of Screening/Randomization Processes in Multicenter Clinical Trials and Predicting Optimal Enrollment Stopping Time, Volodymyr Anisimov and Leo Gortzak.

Part 2. Applications.
7. Bidding Strategies Approaches for the Greek Electricity Market, Emmanuel Karapidakis, Marios Nikologiannis and George Matalliotakis.
8. Long-Term Memory, Event-Driven Dynamics and Predictive Power: An Analysis of Economic Policy Uncertainty and Market Volatility in the United States and UK, Christos Floros, George Matalliotakis and Fotis Papatheofanous.
9. Spatial Dependence in Extreme Precipitation: An Extreme Value Analysis in R, Dora Prata Gomes and Maria Manuela Neves.
10. Time Series and Cluster Analysis of Groundwater Level in Slovakia, Jana Kalická, Dominika Sónak Ballová and Michalea ?erve?anská.
11. Coupon Collector Problem with Partial and Total Resets, Jelena Jockovi? and Bojana Todi?.
12. The Relationship Between Quality of Life and Brain Drain, Aleksei N. Kurbatskii and Marina V. Mironenkova.

Part 3. Statistical Techniques.
13. A Unified Model for SPC and Maintenance in High Investigation Cost Processes with Multiple Quality Disruptions, Konstantina Tsiota and Konstantinos A. Tasias.
14. A Note on Spectral Risk Measures when Systemic Risk is Present, Georgios C. Zachos.
15. Mutual Information and Pearson’s Correlation in Analysis of Statistical Tests Suites: A Case Study, Elena Almaraz Luengo.
16. Binary Regression and Non-monotonic Link Functions, Gloria Gheno.

About the authors/editors


James R. Bozeman is a professor of Mathematics at the American University of Malta. He is also a Global Roster of Experts member at the International Science Council (ISC).

Christos H. Skiadas is the founder and former director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece. He is a prominent researcher in demography and was awarded Honorary Doctor of Accounting and Finance at the Hellenic Mediterranean University, Greece.