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Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik / / edited by Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk
Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik / / edited by Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (xix, 287 pages) : illustrations (some color)
Disciplina 006.31
Collana Gale eBooks
Soggetto topico Artificial intelligence
Statistics
Computer science - Mathematics
Mathematical statistics
Mathematical optimization
Artificial Intelligence
Statistical Theory and Methods
Probability and Statistics in Computer Science
Optimization
ISBN 9783642411366
3642411363
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I - History of Statistical Learning Theory -- Chap. 1 - In Hindsight: Doklady Akademii Nauk SSSR, 181(4), 1968 -- Chap. 2 - On the Uniform Convergence of the Frequencies of Occurrence of Events to Their Probabilities -- Chap. 3 - Early History of Support Vector Machines -- Part II - Theory and Practice of Statistical Learning Theory -- Chap. 4 - Some Remarks on the Statistical Analysis of SVMs and Related Methods -- Chap. 5 - Explaining AdaBoost -- Chap. 6 - On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension -- Chap. 7 - On Learnability, Complexity and Stability -- Chap. 8 - Loss Functions -- Chap. 9 - Statistical Learning Theory in Practice -- Chap. 10 - PAC-Bayesian Theory -- Chap. 11 - Kernel Ridge Regression -- Chap. 12 - Multi-task Learning for Computational Biology: Overview and Outlook -- Chap. 13 - Semi-supervised Learning in Causal and Anticausal Settings -- Chap. 14 - Strong Universal Consistent Estimate of the Minimum Mean-Squared Error -- Chap. 15 - The Median Hypothesis -- Chap. 16 - Efficient Transductive Online Learning via Randomized Rounding -- Chap. 17 - Pivotal Estimation in High-Dimensional Regression via Linear Programming -- Chap. 18 - Some Observations on Sparsity Inducing Regularization Methods for Machine Learning -- Chap. 19 - Sharp Oracle Inequalities in Low Rank Estimation -- Chap. 20 - On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel-Based Methods -- Chap. 21 - Kernels, Pre-images and Optimization -- Chap. 22 - Efficient Learning of Sparse Ranking Functions -- Chap. 23 - Direct Approximation of Divergences Between Probability Distributions -- Index.
Record Nr. UNINA-9910437566303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Autore Shafer Glenn <1946->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , 2019
Descrizione fisica 1 online resource (483 pages)
Disciplina 332.01/5193
Collana Wiley series in probability and statistics
Soggetto topico Finance - Statistical methods
Finance - Mathematical models
Game theory
Soggetto genere / forma Electronic books.
ISBN 1-118-54793-4
1-118-54803-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910467586903321
Shafer Glenn <1946->  
Hoboken, NJ : , : Wiley, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Autore Shafer Glenn <1946->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , 2019
Descrizione fisica 1 online resource (483 pages)
Disciplina 332.01/5193
Collana Wiley series in probability and statistics
Soggetto topico Finance - Statistical methods
Finance - Mathematical models
Game theory
ISBN 1-118-54802-7
1-118-54793-4
1-118-54803-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910532227803321
Shafer Glenn <1946->  
Hoboken, NJ : , : Wiley, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Game-theoretic foundations for probability and finance / / Glenn Ray Shafer, Rutgers University, New Jersey, USA, Vladimir Vovk, University of London, Surrey, UK
Autore Shafer Glenn <1946->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , 2019
Descrizione fisica 1 online resource (483 pages)
Disciplina 332.01/5193
Collana Wiley series in probability and statistics
Soggetto topico Finance - Statistical methods
Finance - Mathematical models
Game theory
ISBN 1-118-54802-7
1-118-54793-4
1-118-54803-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910819461103321
Shafer Glenn <1946->  
Hoboken, NJ : , : Wiley, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Autore Shafer Glenn <1946->
Pubbl/distr/stampa New York, : J. Wiley & Sons, c2001
Descrizione fisica 1 online resource (437 p.)
Disciplina 332/.01/1
519.2
519.5024332
Altri autori (Persone) VovkVladimir <1960->
Collana Wiley series in probability and statistics
Soggetto topico Investments - Mathematics
Statistical decision
Financial engineering
ISBN 1-280-53980-1
9786610539802
0-470-35631-6
0-471-46171-7
0-471-24969-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probability and Finance; Contents; Preface; 1 Probability and Finance as a Game; 1.1 A Game with the World; 1.2 The Protocol for a Probability Game; 1.3 The Fundamental Interpretative Hypothesis; 1.4 The Many Interpretations of Probability; 1.5 Game-Theoretic Probability in Finance; Part I Probability without Measure; 2 The Historical Context; 2.1 Probability before Kolmogorov; 2.2 Kolmogorov's Measure-Theoretic Framework; 2.3 Realized Randomness; 2.4 What is a Martingale?; 2.5 The Impossibility of a Gambling System; 2.6 Neosubjectivism; 2.7 Conclusion
3 The Bounded Strong Law of Large Numbers3.1 The Fair-Coin Game; 3.2 Forecasting a Bounded Variable; 3.3 Who Sets the Prices?; 3.4 Asymmetric Bounded Forecasting Games; 3.5 Appendix: The Computation of Strategies; 4 Kolmogorov's Strong Law of Large Numbers; 4.1 Two Statements of Kolmogorov's Strong Law; 4.2 Skeptic's Strategy; 4.3 Reality's Strategy; 4.4 The Unbounded Upper Forecasting Protocol; 4.5 A Martingale Strong Law; 4.6 Appendix: Martin's Theorem; 5 The Law of the Iterated Logarithm; 5.1 Unbounded Forecasting Protocols; 5.2 The Validity of the Iterated-Logarithm Bound
5.3 The Sharpness of the Iterated-Logarithm Bound5.4 A Martingale Law of the Iterated Logarithm; 5.5 Appendix: Historical Comments; 5.6 Appendix: Kolmogorov's Finitary Interpretation; 6 The Weak Laws; 6.1 Bernoulli's Theorem; 6.2 De Moivre's Theorem; 6.3 A One-Sided Central Limit Theorem; 6.4 Appendix: The Gaussian Distribution; 6.5 Appendix: Stochastic Parabolic Potential Theory; 7 Lindeberg's Theorem; 7.1 Lindeberg Protocols; 7.2 Statement and Proof of the Theorem; 7.3 Examples of the Theorem; 7.4 Appendix: The Classical Central Limit Theorem; 8 The Generality of Probability Games
8.1 Deriving the Measure-Theoretic Limit Theorems8.2 Coin Tossing; 8.3 Game-Theoretic Price and Probability; 8.4 Open Scientific Protocols; 8.5 Appendix: Ville's Theorem; 8.6 Appendix: A Brief Biography of Jean Ville; Part II Finance without Probability; 9 Game-Theoretic Probability in Finance; 9.1 The Behavior of Stock-Market Prices; 9.2 The Stochastic Black-Scholes Formula; 9.3 A Purely Game-Theoretic Black-Scholes Formula; 9.4 Informational Efficiency; 9.5 Appendix: Tweaking the Black-Scholes Model; 9.6 Appendix: On the Stochastic Theory; 10 Games for Pricing Options in Discrete Time
10.1 Bachelier's Central Limit Theorem10.2 Bachelier Pricing in Discrete Time; 10.3 Black-Scholes Pricing in Discrete Time; 10.4 Hedging Error in Discrete Time; 10.5 Black-Scholes with Relative Variations for S; 10.6 Hedging Error with Relative Variations for S; 1 1 Games for Pricing Options in Continuous Time; 11.1 The Variation Spectrum; 11.2 Bachelier Pricing in Continuous Time; 11.3 Black-Scholes Pricing in Continuous Time; 11.4 The Game-Theoretic Source of the dt Effect; 11.5 Appendix: Elements of Nonstandard Analysis; 11.6 Appendix: On the Diffusion Model
12 The Generality of Game-Theoretic Pricing
Record Nr. UNINA-9910146073203321
Shafer Glenn <1946->  
New York, : J. Wiley & Sons, c2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Autore Shafer Glenn <1946->
Pubbl/distr/stampa New York, : J. Wiley & Sons, c2001
Descrizione fisica 1 online resource (437 p.)
Disciplina 332/.01/1
519.2
519.5024332
Altri autori (Persone) VovkVladimir <1960->
Collana Wiley series in probability and statistics
Soggetto topico Investments - Mathematics
Statistical decision
Financial engineering
ISBN 1-280-53980-1
9786610539802
0-470-35631-6
0-471-46171-7
0-471-24969-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probability and Finance; Contents; Preface; 1 Probability and Finance as a Game; 1.1 A Game with the World; 1.2 The Protocol for a Probability Game; 1.3 The Fundamental Interpretative Hypothesis; 1.4 The Many Interpretations of Probability; 1.5 Game-Theoretic Probability in Finance; Part I Probability without Measure; 2 The Historical Context; 2.1 Probability before Kolmogorov; 2.2 Kolmogorov's Measure-Theoretic Framework; 2.3 Realized Randomness; 2.4 What is a Martingale?; 2.5 The Impossibility of a Gambling System; 2.6 Neosubjectivism; 2.7 Conclusion
3 The Bounded Strong Law of Large Numbers3.1 The Fair-Coin Game; 3.2 Forecasting a Bounded Variable; 3.3 Who Sets the Prices?; 3.4 Asymmetric Bounded Forecasting Games; 3.5 Appendix: The Computation of Strategies; 4 Kolmogorov's Strong Law of Large Numbers; 4.1 Two Statements of Kolmogorov's Strong Law; 4.2 Skeptic's Strategy; 4.3 Reality's Strategy; 4.4 The Unbounded Upper Forecasting Protocol; 4.5 A Martingale Strong Law; 4.6 Appendix: Martin's Theorem; 5 The Law of the Iterated Logarithm; 5.1 Unbounded Forecasting Protocols; 5.2 The Validity of the Iterated-Logarithm Bound
5.3 The Sharpness of the Iterated-Logarithm Bound5.4 A Martingale Law of the Iterated Logarithm; 5.5 Appendix: Historical Comments; 5.6 Appendix: Kolmogorov's Finitary Interpretation; 6 The Weak Laws; 6.1 Bernoulli's Theorem; 6.2 De Moivre's Theorem; 6.3 A One-Sided Central Limit Theorem; 6.4 Appendix: The Gaussian Distribution; 6.5 Appendix: Stochastic Parabolic Potential Theory; 7 Lindeberg's Theorem; 7.1 Lindeberg Protocols; 7.2 Statement and Proof of the Theorem; 7.3 Examples of the Theorem; 7.4 Appendix: The Classical Central Limit Theorem; 8 The Generality of Probability Games
8.1 Deriving the Measure-Theoretic Limit Theorems8.2 Coin Tossing; 8.3 Game-Theoretic Price and Probability; 8.4 Open Scientific Protocols; 8.5 Appendix: Ville's Theorem; 8.6 Appendix: A Brief Biography of Jean Ville; Part II Finance without Probability; 9 Game-Theoretic Probability in Finance; 9.1 The Behavior of Stock-Market Prices; 9.2 The Stochastic Black-Scholes Formula; 9.3 A Purely Game-Theoretic Black-Scholes Formula; 9.4 Informational Efficiency; 9.5 Appendix: Tweaking the Black-Scholes Model; 9.6 Appendix: On the Stochastic Theory; 10 Games for Pricing Options in Discrete Time
10.1 Bachelier's Central Limit Theorem10.2 Bachelier Pricing in Discrete Time; 10.3 Black-Scholes Pricing in Discrete Time; 10.4 Hedging Error in Discrete Time; 10.5 Black-Scholes with Relative Variations for S; 10.6 Hedging Error with Relative Variations for S; 1 1 Games for Pricing Options in Continuous Time; 11.1 The Variation Spectrum; 11.2 Bachelier Pricing in Continuous Time; 11.3 Black-Scholes Pricing in Continuous Time; 11.4 The Game-Theoretic Source of the dt Effect; 11.5 Appendix: Elements of Nonstandard Analysis; 11.6 Appendix: On the Diffusion Model
12 The Generality of Game-Theoretic Pricing
Record Nr. UNINA-9910830521103321
Shafer Glenn <1946->  
New York, : J. Wiley & Sons, c2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Probability and finance [[electronic resource] ] : it's only a game! / / Glenn Shafer, Vladimir Vovk
Autore Shafer Glenn <1946->
Pubbl/distr/stampa New York, : J. Wiley & Sons, c2001
Descrizione fisica 1 online resource (437 p.)
Disciplina 332/.01/1
519.2
519.5024332
Altri autori (Persone) VovkVladimir <1960->
Collana Wiley series in probability and statistics
Soggetto topico Investments - Mathematics
Statistical decision
Financial engineering
ISBN 1-280-53980-1
9786610539802
0-470-35631-6
0-471-46171-7
0-471-24969-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probability and Finance; Contents; Preface; 1 Probability and Finance as a Game; 1.1 A Game with the World; 1.2 The Protocol for a Probability Game; 1.3 The Fundamental Interpretative Hypothesis; 1.4 The Many Interpretations of Probability; 1.5 Game-Theoretic Probability in Finance; Part I Probability without Measure; 2 The Historical Context; 2.1 Probability before Kolmogorov; 2.2 Kolmogorov's Measure-Theoretic Framework; 2.3 Realized Randomness; 2.4 What is a Martingale?; 2.5 The Impossibility of a Gambling System; 2.6 Neosubjectivism; 2.7 Conclusion
3 The Bounded Strong Law of Large Numbers3.1 The Fair-Coin Game; 3.2 Forecasting a Bounded Variable; 3.3 Who Sets the Prices?; 3.4 Asymmetric Bounded Forecasting Games; 3.5 Appendix: The Computation of Strategies; 4 Kolmogorov's Strong Law of Large Numbers; 4.1 Two Statements of Kolmogorov's Strong Law; 4.2 Skeptic's Strategy; 4.3 Reality's Strategy; 4.4 The Unbounded Upper Forecasting Protocol; 4.5 A Martingale Strong Law; 4.6 Appendix: Martin's Theorem; 5 The Law of the Iterated Logarithm; 5.1 Unbounded Forecasting Protocols; 5.2 The Validity of the Iterated-Logarithm Bound
5.3 The Sharpness of the Iterated-Logarithm Bound5.4 A Martingale Law of the Iterated Logarithm; 5.5 Appendix: Historical Comments; 5.6 Appendix: Kolmogorov's Finitary Interpretation; 6 The Weak Laws; 6.1 Bernoulli's Theorem; 6.2 De Moivre's Theorem; 6.3 A One-Sided Central Limit Theorem; 6.4 Appendix: The Gaussian Distribution; 6.5 Appendix: Stochastic Parabolic Potential Theory; 7 Lindeberg's Theorem; 7.1 Lindeberg Protocols; 7.2 Statement and Proof of the Theorem; 7.3 Examples of the Theorem; 7.4 Appendix: The Classical Central Limit Theorem; 8 The Generality of Probability Games
8.1 Deriving the Measure-Theoretic Limit Theorems8.2 Coin Tossing; 8.3 Game-Theoretic Price and Probability; 8.4 Open Scientific Protocols; 8.5 Appendix: Ville's Theorem; 8.6 Appendix: A Brief Biography of Jean Ville; Part II Finance without Probability; 9 Game-Theoretic Probability in Finance; 9.1 The Behavior of Stock-Market Prices; 9.2 The Stochastic Black-Scholes Formula; 9.3 A Purely Game-Theoretic Black-Scholes Formula; 9.4 Informational Efficiency; 9.5 Appendix: Tweaking the Black-Scholes Model; 9.6 Appendix: On the Stochastic Theory; 10 Games for Pricing Options in Discrete Time
10.1 Bachelier's Central Limit Theorem10.2 Bachelier Pricing in Discrete Time; 10.3 Black-Scholes Pricing in Discrete Time; 10.4 Hedging Error in Discrete Time; 10.5 Black-Scholes with Relative Variations for S; 10.6 Hedging Error with Relative Variations for S; 1 1 Games for Pricing Options in Continuous Time; 11.1 The Variation Spectrum; 11.2 Bachelier Pricing in Continuous Time; 11.3 Black-Scholes Pricing in Continuous Time; 11.4 The Game-Theoretic Source of the dt Effect; 11.5 Appendix: Elements of Nonstandard Analysis; 11.6 Appendix: On the Diffusion Model
12 The Generality of Game-Theoretic Pricing
Record Nr. UNINA-9911019763703321
Shafer Glenn <1946->  
New York, : J. Wiley & Sons, c2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui