Written by one of the best-known probabilists in the world this text offers a clear and modern presentation of modern probability theory and an exposition of the interplay between the properties of metric spaces and those of probability measures. This text is the first at this level to include discussions of the subadditive ergodic theorems, metrics for convergence in laws and the Borel isomorphism theory. The proofs for the theorems are consistently brief and clear and each chapter concludes with a set of historical notes and references. This book should be of interest to students taking degree courses in real analysis and/or probability theory.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Foundations: set theory
General topology
Measures
Integration
Lp spaces: Introduction to functional analysis
Convex sets and duality of normed spaces
Measure, topology and differentiation
Introduction to probability theory
Convergence of laws and central limit theorems
Conditional expectation and martingales
Convergence of laws on separable metric spaces
Stochastic processes
Measurability: Borel isomorphism and analytic sets
Appendices
Book by Dudley RM
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Codice articolo 10387897/202
Quantità: 1 disponibili
Da: thebookforest.com, San Rafael, CA, U.S.A.
Condizione: Good. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Previous library copy with usual markings/stickers or stamps. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Codice articolo BAY_17_SH_061012
Quantità: 1 disponibili