Glenn Shafer is University Professor at Rutgers University.
Vladimir Vovk is Professor in the Department of Computer Science at Royal Holloway, University of London.
Shafer and Vovk are the authors of Probability and Finance: It”s Only a Game, published by Wiley and co-authors of Algorithmic Learning in a Random World. Shafer”s other previous books include A Mathematical Theory of Evidence and The Art of Causal Conjecture.
8 Ebooki wg Glenn Shafer
Vladimir Vovk & Alex Gammerman: Algorithmic Learning in a Random World
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov’s algorithmic notion of randomness. Based on thes …
PDF
Angielski
€171.19
Glenn Shafer & Vladimir Vovk: Probability and Finance
Provides a foundation for probability based on game theory rather than measure theory. A strong philosophical approach with practical applications. Presents in-depth coverage of classical probability …
PDF
Angielski
DRM
€184.91
Glenn Shafer & Vladimir Vovk: Game-Theoretic Foundations for Probability and Finance
Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk’s Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematica …
PDF
Angielski
DRM
€99.99
Glenn Shafer & Vladimir Vovk: Game-Theoretic Foundations for Probability and Finance
Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk’s Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematica …
EPUB
Angielski
€99.99
Glenn Shafer: A Mathematical Theory of Evidence
Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constr …
PDF
Angielski
DRM
€52.99
Glenn Shafer: Art of Causal Conjecture
In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial inte …
PDF
Angielski
DRM
€206.39
Laurent Mazliak & Glenn Shafer: The Splendors and Miseries of Martingales
Over the past eighty years, martingales have become central in the mathematics of randomness. They appear in the general theory of stochastic processes, in the algorithmic theory of randomness, and i …
PDF
Angielski
€96.29
Vladimir Vovk & Alexander Gammerman: Algorithmic Learning in a Random World
This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the r …
PDF
Angielski
€171.19
