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Semigroups, Categories, and Partial Algebras

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This book contains a collection of research papers in mathematical finance covering recent advances in arbitrage, credit and asymmetric information risks. These subjects have attracted academic and practical attention, in particular after the international financial crisis. The volume is split into three parts which treat each of these topics.
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Creating a rigorous mathematical theory of randomness is far from being complete, even in the classical case. Probability and Randomness: Quantum versus Classical rectifies this and introduces mathematical formalisms of classical and quantum probability and randomness with brief discussion of their interrelation and interpretational and foundational issues. The book presents the essentials of
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eBooks sobre Probabilidades

Performance Modeling and Design of Computer Systems

Computation and Modelling in Insurance and Finance

Doing Data Science

Decision Making under Deep Uncertainty

Stochastic Geometry for Wireless Networks

Stochastic Calculus for Finance

Semigroups, Categories, and Partial Algebras

Stationary Stochastic Models

Probability

How to Gamble If You Must

Coin-Turning, Random Walks and Inhomogeneous Markov Chains

White Noise Distribution Theory

Non-homogeneous Random Walks

Stochastic Processes: Harmonizable Theory

Markov Renewal and Piecewise Deterministic Processes

Modelling with Ordinary Differential Equations

Differential Games and Control Theory Iii

Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

Stochastic Processes

Hilbert And Banach Space-valued Stochastic Processes

Thinking Probabilistically

Stochastic Processes and Their Applications

Arbitrage, Credit And Informational Risks

Probability And Randomness: Quantum Versus Classical