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Autore: | Nelson Edward |
Titolo: | Radically Elementary Probability Theory. (AM-117), Volume 117 / / Edward Nelson |
Pubblicazione: | Princeton, NJ : , : Princeton University Press, , [2016] |
©2016 | |
Descrizione fisica: | 1 online resource (109 pages) : illustrations |
Disciplina: | 519.2 |
Soggetto topico: | Martingales (Mathematics) |
Stochastic processes | |
Probabilities | |
Soggetto non controllato: | Abraham Robinson |
Absolute value | |
Addition | |
Algebra of random variables | |
Almost surely | |
Axiom | |
Axiomatic system | |
Borel set | |
Bounded function | |
Cantor's diagonal argument | |
Cardinality | |
Cartesian product | |
Central limit theorem | |
Chebyshev's inequality | |
Compact space | |
Contradiction | |
Convergence of random variables | |
Corollary | |
Correlation coefficient | |
Counterexample | |
Dimension (vector space) | |
Dimension | |
Division by zero | |
Elementary function | |
Estimation | |
Existential quantification | |
Family of sets | |
Finite set | |
Hyperplane | |
Idealization | |
Independence (probability theory) | |
Indicator function | |
Infinitesimal | |
Internal set theory | |
Joint probability distribution | |
Law of large numbers | |
Linear function | |
Martingale (probability theory) | |
Mathematical induction | |
Mathematician | |
Mathematics | |
Measure (mathematics) | |
N0 | |
Natural number | |
Non-standard analysis | |
Norm (mathematics) | |
Orthogonal complement | |
Parameter | |
Path space | |
Predictable process | |
Probability distribution | |
Probability measure | |
Probability space | |
Probability theory | |
Probability | |
Product topology | |
Projection (linear algebra) | |
Quadratic variation | |
Random variable | |
Real number | |
Requirement | |
Scientific notation | |
Sequence | |
Set (mathematics) | |
Significant figures | |
Special case | |
Standard deviation | |
Statistical mechanics | |
Stochastic process | |
Subalgebra | |
Subset | |
Summation | |
Theorem | |
Theory | |
Total variation | |
Transfer principle | |
Transfinite number | |
Trigonometric functions | |
Upper and lower bounds | |
Variable (mathematics) | |
Variance | |
Vector space | |
W0 | |
Wiener process | |
Without loss of generality | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Frontmatter -- Table of contents -- Preface -- Acknowledgments -- 1. Random variables -- 2. Algebras of random variables -- 3. Stochastic processes -- 4. External concepts -- 5. Infinitesimals -- 6. External analogues of internal notions -- 7. Properties that hold almost everywhere -- 8. L1 random variables 30 -- 9. The decomposition of a stochastic process -- 10. The total variation of a process -- 11. Convergence of martingales -- 12. Fluctuations of martingales -- 13. Discontinuities of martingales -- 14. The Lindeberg condition -- 15. The maximum of a martingale -- 16. The law of large numbers -- 17. Nearly equivalent stochastic processes -- 18. The de Moivre-Laplace-Lindeberg-Feller-Wiener- Lévy-Doob-Erdös-Kac-Donsker-Prokhorov theorem -- Appendix -- Index |
Sommario/riassunto: | Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form. |
Titolo autorizzato: | Radically Elementary Probability Theory. (AM-117), Volume 117 |
ISBN: | 1-4008-8214-1 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910154754503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |