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Add to basketPaperback. Condition: Brand New. 390 pages. 9.00x6.00x0.91 inches. In Stock.
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Add to basketGebunden. Condition: New. 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.
Published by Springer New York Okt 2008, 2008
ISBN 10: 0387768955 ISBN 13: 9780387768953
Language: English
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Add to basketBuch. Condition: Neu. 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.
Published by Springer-Verlag New York Inc., 2010
ISBN 10: 1441926429 ISBN 13: 9781441926425
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 597.
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Add to basketCondition: 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.
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Add to basketCondition: New. Print on Demand pp. 406 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. PRINT ON DEMAND pp. 406.
Published by Springer-Verlag New York Inc., 2008
ISBN 10: 0387768955 ISBN 13: 9780387768953
Language: English
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