Anbieter: Saint Georges English Bookshop, Berlin, Deutschland
Erstausgabe
Soft cover. Zustand: Very Good. 1st Edition. Mint, shipped airmail from Berlin Bookshop BXn51.
Sprache: Englisch
Verlag: San Francisco, Jossey-Bass, 2009
ISBN 10: 0470569654 ISBN 13: 9780470569658
Anbieter: Antiquariat Bookfarm, Löbnitz, Deutschland
Softcover. Gebrauchtes Buch aus ehem. Privatbesitz. GUTER Zustand, wenige Gebrauchsspuren. Used book, few traces of use. C07237 9780470569658 Sprache: Englisch Gewicht in Gramm: 550.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 59,67
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 75,16
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 125 pages. 9.00x6.00x0.50 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 89,44
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In den WarenkorbPaperback. Zustand: Brand New. 125 pages. 9.00x6.00x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer Japan, Springer Japan Jan 2016, 2016
ISBN 10: 4431553355 ISBN 13: 9784431553359
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This book provides a modern introductory tutorial on specialized theoretical aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter provides up-to-date coverage of particle association measures that underpin the theoretical properties of recently developed random set methods in space and time otherwise known as the class of probability hypothesis density framework (PHD filters). The second chapter gives an overview of recent advances in Monte Carlo methods for Bayesian filtering in high-dimensional spaces. In particular, the chapter explains how one may extend classical sequential Monte Carlo methods for filtering and static inference problems to high dimensions and big-data applications. The third chapter presents an overview of generalized families of processes that extend the class of Gaussian process models to heavy-tailed families known as alpha-stable processes. In particular, it covers aspects of characterization via the spectral measure of heavy-tailed distributions and then provides an overview of their applications in wireless communications channel modeling. The final chapter concludes with an overview of analysis for probabilistic spatial percolation methods that are relevant in the modeling of graphical networks and connectivity applications in sensor networks, which also incorporate stochastic geometryfeatures.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.
EUR 108,87
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In den WarenkorbHardcover. Zustand: Brand New. 580 pages. 8.82x6.06x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Springer Japan, Springer Japan, 2016
ISBN 10: 443155338X ISBN 13: 9784431553380
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known as kernel mean embedding which has had a significant influence in machine learning disciplines. The second chapter takes up non-parametric statistical methods for spatial field reconstruction and exceedance probability estimation based on Gaussian process-based models in the context of wireless sensor network data. The third chapter presents signal-processing methods applied to acoustic mood analysis based on music signal analysis. The fourth chapter covers models that are applicable to time series modeling in the domain of speech and language processing. This includes aspects of factor analysis, independent component analysis in an unsupervised learning setting. The chapter moves on to include more advanced topics on generalized latent variable topic models based on hierarchical Dirichlet processes which recently have been developed in non-parametric Bayesian literature. The final chapter discusses aspects of dependence modeling, primarily focusing on the role of extreme tail-dependence modeling, copulas, and their role in wireless communications system models.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a modern introductory tutorial on specialized theoretical aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter provides up-to-date coverage of particle association measures that underpin the theoretical properties of recently developed random set methods in space and time otherwise known as the class of probability hypothesis density framework (PHD filters). The second chapter gives an overview of recent advances in Monte Carlo methods for Bayesian filtering in high-dimensional spaces. In particular, the chapter explains how one may extend classical sequential Monte Carlo methods for filtering and static inference problems to high dimensions and big-data applications. The third chapter presents an overview of generalized families of processes that extend the class of Gaussian process models to heavy-tailed families known as alpha-stable processes. In particular, it covers aspects of characterization via the spectral measure of heavy-tailed distributions and then provides an overview of their applications in wireless communications channel modeling. The final chapter concludes with an overview of analysis for probabilistic spatial percolation methods that are relevant in the modeling of graphical networks and connectivity applications in sensor networks, which also incorporate stochastic geometryfeatures.
Taschenbuch. Zustand: Neu. Theoretical Aspects of Spatial-Temporal Modeling | Gareth William Peters (u. a.) | Taschenbuch | SpringerBriefs in Statistics | xv | Englisch | 2016 | Springer | EAN 9784431553359 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Modern Methodology and Applications in Spatial-Temporal Modeling | Gareth William Peters (u. a.) | Taschenbuch | SpringerBriefs in Statistics | xv | Englisch | 2016 | Springer | EAN 9784431553380 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Antiquariat Bookfarm, Löbnitz, Deutschland
Hardcover. XI, 247 S. Gebrauchtes Buch aus ehem. Privatbesitz. GUTER Zustand, wenige Gebrauchsspuren. Used book, few traces of use. C09059 9027250928 Sprache: Englisch Gewicht in Gramm: 550.