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Game-Theoretic Foundations for Probability and Finance

Game-Theoretic Foundations for Probability and Finance

EconomicsFinance
Pages
480
Published
2019
Language
English

Synopsis

This book explores the game-theoretic foundations of probability and finance, offering a fresh perspective on these interconnected fields. It delves into how strategic interactions and decision-making under uncertainty can be modeled and understood through game theory. The text provides a rigorous framework for advanced students and researchers in economics, finance, and mathematics.

Prose complexity
10/10

Vibe

InformativeIntellectualComplex

Genres

Economics Finance Mathematics

Authors

G
Glenn Shafer

Glenn Shafer is a key figure in probability and decision theory. His books, including Readings in uncertain reasoning and Game-Theoretic Foundations for Probability and Finance, explore how we understand and model uncertainty. He also writes on algorithmic learning and its role in a random world.

V
Vladimir Vovk

Vladimir Vovk is a distinguished author specializing in statistical learning, probability, and algorithmic complexity. His notable works include Measures of Complexity, Statistical Learning and Data Sciences, and Algorithmic Learning in a Random World. Vovk also explores game theory in Game-Theoretic Foundations for Probability and Finance.