Stochastic Multi-Stage Optimization : At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming
Pierre Carpentier
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Marginal and Functional Quantization of Stochastic Processes
Harald Luschgy
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Concentration and Gaussian Approximation for Randomized Sums
Sergey Bobkov
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Foundations of Modern Probability
Olav Kallenberg
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Point Process Calculus in Time and Space : An Introduction with Applications
Pierre Bremaud
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Mathematical Control Theory for Stochastic Partial Differential Equations
Qi Lu
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The Quasispecies Equation and Classical Population Models
Raphael Cerf
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Methods of Mathematical Finance
Ioannis Karatzas
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Dynamic Markov Bridges and Market Microstructure : Theory and Applications
Umut Cetin
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Probabilistic Theory of Mean Field Games with Applications I : Mean Field FBSDEs, Control, and Games
Rene Carmona
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Random Measures, Theory and Applications
Olav Kallenberg
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Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
Pierre Bremaud
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Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
T. E. Govindan
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Limit Theorems for Multi-Indexed Sums of Random Variables
Oleg Klesov
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Measure-Valued Branching Markov Processes
Zenghu Li
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Probability on Compact Lie Groups
David Applebaum
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Stochastic Integration in Banach Spaces : Theory and Applications
Vidyadhar Mandrekar
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Stable Convergence and Stable Limit Theorems
Erich Hausler
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Dirichlet Forms Methods for Poisson Point Measures and Levy Processes : With Emphasis on the Creation-Annihilation Techniques
Nicolas Bouleau
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Dirichlet Forms Methods for Poisson Point Measures and Levy Processes : With Emphasis on the Creation-Annihilation Techniques
Nicolas Bouleau
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Stochastic Control Theory : Dynamic Programming Principle
Makiko Nisio
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Stochastic Control Theory : Dynamic Programming Principle
Makiko Nisio
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