Convex Stochastic Optimization by Teemu Pennanen
This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal control.-
Foundations of Modern Probability
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Geometry of Level Sets of Random Fields, Kac–Rice Formulas, Hermite Expansions and Applications
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Dynamics on Graphs
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Hybrid Switching Diffusions
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Nonlinear Expectations and Stochastic Calculus under Uncertainty
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Probability on Compact Lie Groups
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Measure-Valued Branching Markov Processes
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Pseudo-Regularly Varying Functions and Generalized Renewal Processes
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Stochastic Disorder Problems
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Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes
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Analysis and Approximation of Rare Events
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Random Ordinary Differential Equations and Their Numerical Solution
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Stochastic Evolution Systems
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Ambit Stochastics
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Mathematical Control Theory for Stochastic Partial Differential Equations
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Dirichlet Forms Methods for Poisson Point Measures and Levy Processes
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Lectures on Monte Carlo Theory
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Stochastic Control Theory
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Random Measures, Theory and Applications
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Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
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Random Walks in the Quarter Plane
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Stochastic Flows and Jump-Diffusions
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Stochastic Multi-Stage Optimization
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The Quasispecies Equation and Classical Population Models
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Asymptotic Theory of Weakly Dependent Random Processes
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Stable Convergence and Stable Limit Theorems
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Stochastic Integration in Banach Spaces
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Continuous-Time Markov Decision Processes
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Dynamic Markov Bridges and Market Microstructure
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Limit Theorems for Multi-Indexed Sums of Random Variables
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Markov Renewal and Piecewise Deterministic Processes
Teemu Pennanen is the Professor of Financial Mathematics, Probability and Statistics at King's College London. Before joining KCL, professor Pennanen worked as Managing Director at QSA Quantitative Solvency Analysts Ltd, with a joint appointment as Professor of Mathematics at the University of Jyvaskyl. His research interests include convex optimization, probability and statistics and their applications to operations research and financial economics. Pennanen has authored over 50 journal publications and he has been a consultant to a number of financial institutions including Bank of Finland, The State Pension Fund and Ministry of Social Affairs and Health.
Ari-Pekka Perkkiö is a senior assistant professor in Financial and Insurance Mathematics at the Department of Mathematics of Ludwig-Maximilians-Universität München. Before joining LMU, first as a junior professor, Perkkiö worked at Technische Universität Berlin and Aalto Universtiy. He has authored over 20 publications on optimization, variational analysis, probability theory, stochastic analysis and financial mathematics.
| SKU | Unavailable |
| ISBN 13 | 9783031764318 |
| ISBN 10 | 3031764315 |
| Title | Convex Stochastic Optimization |
| Author | Teemu Pennanen |
| Series | Probability Theory And Stochastic Modelling |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2024-12-19 |
| Number of pages | 412 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |