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Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9781441926425_lsuk
Description du livre PF. Etat : New. N° de réf. du vendeur 6666-IUK-9781441926425
Description du livre Etat : New. Book is in NEW condition. N° de réf. du vendeur 1441926429-2-1
Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published. N° de réf. du vendeur 353-1441926429-new
Description du livre Soft Cover. Etat : new. N° de réf. du vendeur 9781441926425
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar2411530294324
Description du livre Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9781441926425
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many aspects of phenomena critical to our lives can not be measured directly. Fortunately models of these phenomena, together with more limited obs- vations frequently allow us to make reasonable inferences about the state of the systems that a ect us. The process of using partial observations and a stochastic model to make inferences about an evolving system is known as stochastic ltering. The objective of this text is to assist anyone who would like to become familiar with the theory of stochastic ltering, whether graduate student or more experienced scientist. The majority of the fundamental results of the subject are presented using modern methods making them readily available for reference. The book may also be of interest to practitioners of stochastic ltering, who wish to gain a better understanding of the underlying theory. Stochastic ltering in continuous time relies heavily on measure theory, stochasticprocessesandstochasticcalculus.Whileknowledgeofbasicmeasure theory and probability is assumed, the text is largely self-contained in that the majority of the results needed are stated in two appendices. This should make it easy for the book to be used as a graduate teaching text. With this in mind, each chapter contains a number of exercises, with solutions detailed at the end of the chapter. 404 pp. Englisch. N° de réf. du vendeur 9781441926425
Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The authors are an authority in the stochastic filtering fieldAn assortment of Measure Theory, Probability Theory and Stochastic Analysis results are included in order to make this book as self contained as possibleExercises and solutions i. N° de réf. du vendeur 4173146
Description du livre Etat : New. N° de réf. du vendeur I-9781441926425