Anindya S. Chakrabarti (Indian Institute of Management Ahmedabad), K. Shuvo Bakar (University of Sydney), Anirban Chakraborti (India BML Munjal University)

Data Science for Complex Systems

• Gebundenes Buch

Produktbeschreibung

This book provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 289
• Erscheinungstermin: 25. Mai 2023
• Englisch
• Abmessung: 238mm x 163mm x 41mm
• Gewicht: 696g
• ISBN-13: 9781108844796
• ISBN-10: 1108844790
• Artikelnr.: 66165194

Autorenporträt

Anindya S. Chakrabarti is an Associate Professor of Economics and UTI Chair of Macroeconomics at the Indian Institute of Management Ahmedabad. His main research interests are macroeconomics, big data in economics, time series econometrics, network theory and complex systems.

Inhaltsangabe

Preface
Part I. Introduction: 1. Facets of complex systems
Part II. Heterogeneity and Dependence: 2. Quantifying heterogeneity: Classical and Bayesian statistics
3. Statistical analyses of time-varying phenomena
Part III. Patterns and Interlinkages: 4. Pattern recognition in complex systems: machine learning
5. Interlinkages and heterogeneity: network theory. Part IV. Emergence: from Micros to Macro: 6. Interaction and emergence: agent-based models
7. Epilogue
References
Index.