Modeling Spatio Temporal Data(1st Edition)

Book details

Book Price $64.4 : Several Important Topics In Spatial And Spatio-temporal Statistics Developed In The Last 15 Years Have Not Received Enough Attention In Textbooks. Modeling Spatio-Temporal Data: Markov Random Fields, Objectives Bayes, And Multiscale Models Aims To Fill This Gap By Providing An Overview Of A Variety Of Recently Proposed Approaches For The Analysis Of Spatial And Spatio-temporal Datasets, Including Proper Gaussian Markov Random Fields, Dynamic Multiscale Spatio-temporal Models, And Objective Priors For Spatial And Spatio-temporal Models. The Goal Is To Make These Approaches More Accessible To Practitioners, And To Stimulate Additional Research In These Important Areas Of Spatial And Spatio-temporal Statistics.Key Topics:Proper Gaussian Markov Random Fields And Their Uses As Building Blocks For Spatio-temporal Models And Multiscale Models.Hierarchical Models With Intrinsic Conditional Autoregressive Priors For Spatial Random Effects, Including Reference Priors, Results On Fast Computations, And Objective Bayes Model Selection.Objective Priors For State-space Models And A New Approximate Reference Prior For A Spatio-temporal Model With Dynamic Spatio-temporal Random Effects.Spatio-temporal Models Based On Proper Gaussian Markov Random Fields For Poisson Observations.Dynamic Multiscale Spatio-temporal Thresholding For Spatial Clustering And Data Compression.Multiscale Spatio-temporal Assimilation Of Computer Model Output And Monitoring Station Data.Dynamic Multiscale Heteroscedastic Multivariate Spatio-temporal Models.The M-open Multiple Optima Paradox And Some Of Its Practical Implications For Multiscale Modeling.Ensembles Of Dynamic Multiscale Spatio-temporal Models For Smooth Spatio-temporal Processes.The Audience For This Book Are Practitioners, Researchers, And Graduate Students In Statistics, Data Science, Machine Learning, And Related Fields. Prerequisites For This Book Are Master's-level Courses On Statistical Inference, Linear Models, And Bayesian Statistics. This Book Can Be Used As A Textbook For A Special Topics Course On Spatial And Spatio-temporal Statistics, As Well As Supplementary Material For Graduate Courses On Spatial And Spatio-temporal Modeling. See more