Transactions of ADIA Lab:Interdisciplinary Advances in Data and Computational Science

Edited by Horst Simon

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: Transactions of ADIA Lab

Keywords: Computational Science; Data Science; AI Applications; Climate Science; Medical Imaging; Sustainability; Interdisciplinary Research; Data Science; Mathematical and Quantitative Finance (search for similar items in EconPapers)
JEL-codes: C45 C63 G11 Q54 (search for similar items in EconPapers)
Date: 2025
ISBN: 9789819813032
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https://www.worldscientific.com/worldscibooks/10.1142/14310 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 A Geometric Approach to Asset Allocation with Investor Views , pp 3-51

Alexandre V. Antonov, Koushik Balasubramanian, Alexander Lipton and Marcos Lopez de Prado

Ch 2 Static Liquidation and Risk Management , pp 53-85

Álvaro F. Macías and Jorge P. Zubelli

Ch 3 Overcoming Markowitz’s Instability with the Help of the Hierarchical Risk Parity (HRP): Theoretical Evidence , pp 87-121

Alexandre Antonov, Alexander Lipton and Marcos Lopez de Prado

Ch 4 A Statistical Learning Approach to Local Volatility Calibration and Option Pricing , pp 123-138

Vinicius V. L. Albani, Leonardo Sarmanho and Jorge P. Zubelli

Ch 5 Challenges of Artificial Intelligence and Quantum Potential in the Digital Economy: A Literature Review , pp 141-152

Laura Sanz Martín, Javier Parra Domínguez, Guillermo Rivas, Alexander Lipton and Juan Manuel Corchado

Ch 6 Exploring the Digital Economy: Current Research Trends, Challenges, and Opportunities , pp 153-178

Manuel J. Cobo, Nadia Karina Gamboa-Rosales, José Ricardo López-Robles and Enrique Herrera-Viedma

Ch 7 Interoperability Challenges in Tokenized Asset Networks , pp 179-228

Thomas Hardjono, Alexander Lipton and Alex Pentland

Ch 8 Symmetric Encryption on a Quantum Computer , pp 231-244

David Garvin, Oleksiy Kondratyev, Alexander Lipton and Marco Paini

Ch 9 Performance-Driven Dimensionality Reduction: A Data-Centric Approach to Feature Engineering in Machine Learning , pp 245-272

Joshua Chung, Marcos Lopez de Prado, Horst D. Simon and Kesheng Wu

Ch 10 Toward Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model , pp 273-290

Torsten Hoefler, Alexandru Calotoiu, Anurag Dipankar, Thomas Schulthess, Xavier Lapillonne and Oliver Fuhrer

Ch 11 Dimension Walks on Generalized Spaces , pp 291-314

Ana Paula Peron and Emilio Porcu

Ch 12 Trustworthy Artificial Intelligence: Nature, Requirements, Regulation, and Emerging Discussions , pp 317-342

Francisco Herrera, Andres Herrera, Javier Del Ser, Enrique Herrera-Viedma and Marcos López de Prado

Ch 13 Getting More for Less: Better A/B Testing via Causal Regularization , pp 343-358

Kevin Webster and Nicholas Westray

Ch 14 Toward Automating Causal Discovery in Financial Markets and Beyond , pp 359-392

Alik Sokolov, Fabrizzio Sabelli, Behzad Azadie Faraz, Wuding Li and Luis Seco

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