Statistical Methods for Spatio-Temporal Systems

Herausgeber: Finkenstadt, Barbel; Isham, Valerie; Held, Leonhard

• Broschiertes Buch

Produktbeschreibung

Devoted to spatio-temporal models, Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling that will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. The book describes recent advances and presents a variety of statistical methods, including likelihood-based, nonparametric smoothing, spectral, Fourier, wavelet, and Markov chain Monte Carlo. The methods are illustrated with color images as well as real-world examples, case studies, and applications from epidemiology, geology, and climatology. Key topics include point processes, dynamics, modeling, data analysis, Bayesian methods, and geostatistics.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 312
• Erscheinungstermin: 2. Oktober 2019
• Englisch
• Abmessung: 234mm x 156mm x 17mm
• Gewicht: 440g
• ISBN-13: 9780367390112
• ISBN-10: 0367390116
• Artikelnr.: 57940984

Autorenporträt

Bärbel Finkenstädt, Leonhard Held, Valerie Isham

Inhaltsangabe

Preface. Spatio
Temporal Point Processes: Methods and Applications. Spatio
Temporal Modeling
With a View to Biological Growth. Using Transforms to Analyze Space
Time Processes. Geostatistical Space
Time Models, Stationarity, Separability, and Full Symmetry. Space
Time Modeling of Rainfall for Continuous Simulation. A Primer on Space
Time Modeling from a Bayesian Perspective. Index.