Isbn: 9783764370008 - markov chains and invariant probabilities (progress in mathematics, 211, band 211) (7 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. In English.

Zustand: Gut. Auflage: 2003. 224 Seiten Mit leichten altersbedingten Lager- und Gebrauchsspuren. Biblitoheksex. U-25 Sprache: Englisch Gewicht in Gramm: 495 15,6 x 1,4 x 23,4 cm, Gebundene Ausgabe.

Zustand: New. Concerning discrete-time homogeneous Markov chains that admit an invariant probability measure, this book aims to give a presentation on some key issues about the ergodic behavior of these chains. These issues include the various types of convergence of expected and pathwise occupation measures, and ergodic decompositions of the state space. Series: Progress in Mathematics. Num Pages: 208 pages, biography. BIC Classification: PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 486. . 2003. Hardback. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is about discrete-time, time-homogeneous, Markov chains (Mes) and their ergodic behavior. To this end, most of the material is in fact about stable Mes, by which we mean Mes that admit an invariant probability measure. To state this more precisely and give an overview of the questions we shall be dealing with, we will first introduce some notation and terminology. Let (X,B) be a measurable space, and consider a X-valued Markov chain ~. = {~k' k = 0, 1, . } with transition probability function (t.pJ.) P(x, B), i.e., P(x, B) := Prob (~k+1 E B I ~k = x) for each x E X, B E B, and k = 0,1, . The Me ~. is said to be stable if there exists a probability measure (p.m.) /.l on B such that (\*) VB EB. /.l(B) = Ix /.l(dx) P(x, B) If (\*) holds then /.l is called an invariant p.m. for the Me ~. (or the t.p.f. P).…

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is about discrete-time, time-homogeneous, Markov chains (Mes) and their ergodic behavior. To this end, most of the material is in fact about stable Mes, by which we mean Mes that admit an invariant probability measure. To state this more precisely and give an overview of the questions we shall be dealing with, we will first introduce some notation and terminology. Let (X,B) be a measurable space, and consider a X-valued Markov chain ~. = {~k' k = 0, 1, . } with transition probability function (t.pJ.) P(x, B), i.e., P(x, B) := Prob (~k+1 E B I ~k = x) for each x E X, B E B, and k = 0,1, . The Me ~. is said to be stable if there exists a probability measure (p.m.) /.l on B such that (*) VB EB. /.l(B) = Ix /.l(dx) P(x, B) If (*) holds then /.l is called an invariant p.m. for the Me ~. (or the t.p.f. P).…

Hardcover/Pappeinband. Zustand: Sehr gut. xvi, 201 S., 24x17 cm OPp.; ohne Umschlag. Kapitale leicht bestoßen, sonst sehr sauber und fest; sehr gutes Exemplar. Sprache: Englisch Gewicht in Gramm: 560.