Statistical Methods for Spatio-Temporal Systems

ISBN-13: 9780367390112 / Angielski / Miękka / 2019 / 286 str.

Barbel Finkenstadt; Leonhard Held; Valerie Isham

Opis

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.

Spis treści

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.

O autorze

Bärbel Finkenstädt, Leonhard Held, Valerie Isham