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This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative finance.
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The existing methods of business and company valuation have many shortcomings, two of which are... Læs mere
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This book aims to capture the interest of researchers and professionals in information... Læs mere
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This book aims to capture the interest of researchers and professionals in information... Læs mere
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Artificial intelligence (AI) is transforming multiple aspects of human life, raising fundamental questions: Is AI truly intelligent? Nations leading AI development gain strategic advantages, but without careful regulation, AI could fuel inequality, surveillance, and manipulation.
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The first part discusses the mathematical language of history, the second part uses simple models to analyse historical laws written in mathematical language, and the third part discusses the impact of general Large Language Models (LLMs) on the study of history.
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These include mechanics (inertia tensor, stress tensor, elasticity tensor), electrodynamics (electrical conductivity and resistivity tensors, electromagnetic tensor, magnetic susceptibility tensor), and general relativity (stress-energy tensor, curvature tensor).
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This new edition presents an updated and expanded exploration of boundary value problems for fractional dynamic equations on... Læs mere
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This book introduces the reader to the art of modeling as a means of linking lung structure to... Læs mere
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Recent Advancements in Computational Finance and Business Analytics... Læs mere
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The book presents expert views on new methodologies for applying AI in science and education, the impact of digital technologies on economic growth, company management and our society as a whole.